Jobs

Join a Company That Invests in You

Seeking Alpha is the world’s leading community of engaged investors. We’re the go-to destination for investors looking for actionable stock market opinions, real-time market analysis, and unique financial insights. At the same time, we’re also dedicated to creating a workplace where our team thrives. We’re passionate about fostering a flexible, balanced environment with remote work options and an array of perks that make a real difference.

Here, your growth matters. We prioritize your development through ongoing learning and career advancement opportunities, helping you reach new milestones. Join Seeking Alpha to be part of a company that values your unique journey, supports your success, and champions both your personal well-being and professional goals.

What We're Looking For

Role Overview: You will take ownership of the search infrastructure for Ask Seeking Alpha — a financial intelligence platform powered by LLMs. Your main goal is to ensure our AI agents can find the exact financial data they need (articles, transcripts, news) in milliseconds. You will work on the Retrieval layer of our RAG architecture, combining traditional text search with modern vector search techniques.

Tech Stack: Elasticsearch (v8+), Python (FastAPI, Asyncio), OpenAI Embeddings, LangChain, LangSmith.

What You'll Do

• Search Engine Development: Design and implement Hybrid Search strategies. You will figure out how to best combine "keyword matching" (finding specific tickers like 'AAPL') with "semantic search" (finding concepts like 'revenue growth').
• Relevance Tuning: You are responsible for the quality of search results. You will build systems to measure and improve how well the search engine answers user queries (using tools like LangSmith).
• Vector Search & RAG: Manage the integration of OpenAI embeddings into Elasticsearch. You will solve challenges related to indexing long documents (e.g., earnings transcripts) so the AI retrieves only the most relevant parts.
• Performance Optimization: Optimize Elasticsearch queries and index settings to ensure low latency, even for complex queries with many filters.
• Python Backend: Develop and maintain the Python services that build queries and process results. We use FastAPI and Asyncio heavily.

Requirements

• Elasticsearch Expert: 5+ years of experience working with Search Engines in production. You understand how indices, analyzers, and mappings work "under the hood."
• Search Theory: You understand the difference between Lexical Search (keywords) and Vector Search (meaning), and know when to use which.
• Python Proficiency: Strong experience with Python 3.10+. You are comfortable writing asynchronous code (async/await) and building APIs.
• Data Engineering: Experience designing data schemas for search (how to structure JSON documents for efficient retrieval).

Nice to Have

• Experience building RAG (Retrieval-Augmented Generation) pipelines.
• Familiarity with LangChain or similar LLM frameworks.
• Experience with Evaluation tools (like LangSmith) to test search quality automatically.
• Background in Finance (understanding tickers, earnings calls, etc.).

Join a Company That Invests in You

Seeking Alpha is the world’s leading community of engaged investors. We’re the go-to destination for investors looking for actionable stock market opinions, real-time market analysis, and unique financial insights. At the same time, we’re also dedicated to creating a workplace where our team thrives. We’re passionate about fostering a flexible, balanced environment with remote work options and an array of perks that make a real difference.

Here, your growth matters. We prioritize your development through ongoing learning and career advancement opportunities, helping you reach new milestones. Join Seeking Alpha to be part of a company that values your unique journey, supports your success, and champions both your personal well-being and professional goals.

What We're Looking For

Role Overview: We are developing Ask Seeking Alpha — a high-load financial analysis system based on Large Language Models. The architecture is built on complex multi-agent orchestration using LangGraph, FastAPI, and Elasticsearch.

We are looking for a Senior Backend Engineer specialized in Generative AI to design agent workflows, optimize interactions with models (OpenAI, AWS Bedrock), and ensure the reliability of non-deterministic systems in production.

Tech Stack: Python (Asyncio), FastAPI, LangChain, LangGraph, Pydantic, Elasticsearch, AWS Bedrock / OpenAI API, LangSmith.

What You'll Do

• Agent Architecture: Design and implement complex agent orchestration logic using LangGraph. You will define state management, conditional routing, and error handling within the agent graph.
• Tool Engineering: Build and optimize the tool layer (function calling) that allows LLMs to interact with internal financial APIs and databases accurately.
• Performance Optimization:

-Reduce end-to-end latency through asynchronous processing and streaming (SSE).

-Implement semantic caching strategies to minimize API costs and response time.

-Optimize token usage without sacrificing answer quality.

• Observability & Evaluation: Implement automated evaluation pipelines using LangSmith. You will be responsible for setting up regression testing for prompts and agents to measure quality (correctness, faithfulness) before deployment.
• Advanced RAG: Refine retrieval strategies. Work on hybrid search implementation (Keyword + Vector), re-ranking, and query expansion to feed the most relevant context to the model.

Requirements

• Python Expert: Strong proficiency in modern Python. Deep understanding of asynchronous programming (asyncio) patterns is mandatory, as our entire I/O pipeline (Network, DB, LLM) is non-blocking. Experience with FastAPI and Pydantic (v2).
• Agentic Frameworks: Production experience with LangChain. Hands-on experience or deep conceptual understanding of LangGraph (or similar state-machine-based agent frameworks).

Deep LLM Expertise (What we mean by "Deep"):

• Non-determinism Management: Strategies for handling LLM hallucinations and ensuring reliable outputs (e.g., self-correction loops, specific prompting techniques like CoT/ReAct).
• Structured Outputs: Experience forcing LLMs to adhere to strict schemas (Pydantic/JSON mode) for reliable downstream processing.
• Context Optimization: Advanced strategies for managing limited context windows (summarization chains, sliding windows, selective context injection) beyond simple truncation.
• Inference Economics: Understanding the trade-offs between model size, latency, and cost (e.g., when to route to GPT-4 vs. a smaller/faster model).

Nice to Have

• Experience with Elasticsearch (DSL queries, analyzers).
• Knowledge of vector databases and embedding models.
• Background in FinTech or familiarity with financial data structures.

What you’ll do

• Own engineering outcomes
• Be accountable for velocity, quality, reliability, scalability, and overall engineering capabilities for DataTech stream-aligned teams

• Ensure engineering initiatives align with DataTech strategy and the product roadmap

   

Lead and grow teams

• Manage engineers and SDE Leads through coaching, feedback, growth planning, performance management, and compensation input
• Build and evolve teams: hiring, onboarding, shaping the skill/seniority mix, and handling transitions when needed

• Maintain healthy team dynamics and address people challenges early

   

Plan and manage capacity

• Own short- and long-term capacity and capability planning
• Allocate people across initiatives based on priorities and constraints

• Identify delivery risks and drive mitigation via hiring, reprioritization, or internal rebalancing

   

Ensure strong SDLC execution and technical quality

• Ensure teams execute effectively across the SDLC: refinement, design, estimation, implementation, testing, deployment, and support
• Uphold engineering standards and non-functional requirements
• Partner with SDE Leads on architecture and solution design; involve Architecture/Platform/SRE when needed
• Improve SDLC efficiency by integrating Generative AI tooling where it adds value

Own reliability and operations

• Be ultimately responsible for the stability, performance, and quality of the services your teams own
• Drive observability improvements, SLIs/SLOs adoption, and incident reduction

• Strengthen operational excellence and technical health over time

   

Strengthen collaboration and ways of working

• Evolve engineering practices: code review, CI/CD, testing strategy, incident response, and continuous improvement
• Partner with Product, Data, and other domains to align plans and manage dependencies

• Contribute to domain-level planning and cross-team collaboration with senior engineering leadership

   

What we’re looking for

• Proven engineering leadership experience managing multiple software/data engineering teams (Engineering Manager or equivalent)
• Strong people management skills: coaching, performance management, conflict resolution, scaling teams
• Track record of delivery in agile, product-led environments, including capacity planning and prioritization
• Clear communication with both technical and non-technical stakeholders

• Ownership mindset: focus on long-term maintainability and quality, not only short-term delivery

   

Bonus points

• Experience in DataTech domains (data ingestion, processing, curation)
• Familiarity with Stream-Aligned Teams / Team Topologies
• Experience partnering with Architecture, Platform, SRE and enabling teams

• Background improving observability, reliability, and incident management for backend/data services

   

What we offer

• Impactful work on a product used by investment professionals worldwide
• Flexible working hours and a remote-friendly environment
• Growth opportunities through regular feedback, development support, and learning resources
• A collaborative engineering culture with strong cross-team partnership

Tech stack: Java 21, Kubernetes / GitOps, Spring Boot, OpenAPI, PostgreSQL, Kafka, Redis

Team: Lead, 5 Backend, 2 Frontend, 2 SDET

Please, send your CV including Engineering management role with Java, Javascript and experience & telegram link :)

Who we are

Workeron.ai is a product company that builds AI agents and digital employees for business.

We do not build abstract AI. We build real workers on AI who take over concrete tasks in operations, analytics, and management.

We need a CTO who still loves to code, loves architecture, and loves playing with new models and tools, not just running meetings.

Mission of the role

Turn Workeron.ai into a factory of AI agent solutions:

• Design the architecture of the platform and the “agent factory”
• Build and lead the engineering team
• Be hands-on in rapid product iterations and rebuilds
• Bring 1 to 2 product lines to stable, repeatable sales

Technology leadership

• Design the target architecture: agent core, orchestration, integrations, billing, security
• Choose the stack: LLM providers, vector stores, orchestrators, low code tools, observability
• Define standards for code, reviews, deployment, and monitoring

Hands-on development

• Write code with the team on critical paths
• Build the first versions of the platform and 2 to 3 key agent MVPs
• Rapidly rebuild and improve solutions based on tests and customer feedback

Product and founder collaboration

• Work with the CEO and product team to turn hypotheses into concrete technical solutions
• Propose your own product and feature ideas based on what is feasible and valuable
• Balance speed of experimentation with reliability of production

Team and processes

• Hire and grow a core team of 2 to 4 engineers (low code, fullstack, data, ML)
• Set up CI/CD and environments for fast PoCs and stable MVPs
• Establish an operating rhythm: tech planning, prioritization, demos, retros

Expected outcomes

After 1 month

• You have a clear grasp of Workeron.ai vision, hypotheses, and target segments
• Together with the team you have delivered 4 agent systems as MVPs for 4 existing hypotheses (each is usable, demoable, and tested with real internal or pilot users)
• Basic technical groundwork for further scaling these agents is documented and understood

After 3 months

• One product direction has been chosen as the main bet based on tests and traction
• For this direction you have built a scalable product version (not just MVP):
  • stable architecture
  • reproducible deployment
  • logging, monitoring, basic security and multi-tenant readiness where needed
• The product is ready to onboard paying customers at scale (not just custom one-off setups)

Requirements

• 6+ years of software development experience, 2+ years as tech lead or CTO\ Tech Lead in a product company or strong agency
• Strong fullstack or backend engineering background in SaaS products
• Practical experience with LLMs and AI: OpenAI, Anthropic, local models, vector databases, agents, orchestrators
• Ability to design system architecture, not only single services
• Bias to speed: you can ship PoCs in days and MVP in weeks not months, and know how to clean them up later
• Experience hiring and leading a small engineering team
• Comfortable translating business and product language into technical plans and estimates
• Background in building internal platforms or SDKs
• Early stage startup experience

What we offer

• A near cofounder role with real influence on product, technology, and company strategy
• Freedom to build your dream architecture and team from scratch
• Direct work with the founder, no corporate bureaucracy
• Remote first and flexible schedule

Equity

• Base compensation in cash
• Equity or options package tied to clear milestones, for example:
  • Launch of the first platform version
  • First paying customers on agents
  • Hitting a defined MRR or profitability target

Exact structure and size of equity are open to discussion and tied to real contribution and results.

Our Vision & Products

🚀 EverAI — Building the Future of AI Companionship

One of the Top 15 Largest & Fastest-Growing AI Companies in the World

50 Million Users in 2 years — Help Us Reach 100M first, 500M next

At EverAI, we’re shaping what it means to connect with AI. With 50 million users and counting, we're not just building products — we're creating entirely new categories.

Our flagship product is the world’s largest AI companionship platform, redefining relationships for millions. It is governed by our proprietary moderation system, EverGuard — an internal AI designed to ensure everything we build is safe, ethical, and human-first.

And we’re only just getting started!

Our Team

We are an enthusiastic, passionate and hardworking team of ≈ 75 people. Our founding team has strong entrepreneurial experience building and scaling web products from 0 to IPO.

Alexis Soulopoulos [CEO]

• 10+ years in Tech Executive Leadership

• Co-Founder Mad Paws Holdings (from 0 to IPO)

• Forbes 30 under 30 + Deloitte TechFast50 ’22 & ‘23

Michael Monin [Co-founder & CTO]

• 10+ years as CTO / COO (web2/web3), 1+ year in AI/LLM

• Serial-entrepreneur: MTK Digital (exited / 0->$20m revenue) and Zipchat (AI Chatbot for E-commerce brands)

Thomas Lacroix [Co-founder & CMO]

• 8+ years in Customer Acquisition & E-commerce Growth

• Serial-entrepreneur: Curatible (sold to Blackstone) and MTK Digital (exited / 0->$20m revenue)

Maruša Fasano [CFO/Legal]

• 25+ years in Finance, Strategy, M&A

• Ex-CFO/M&A at Curatible (exited to Blackstone)

• Ex-President of the Board at SotremoSA (exited)

• Co-founder/CFO at SoftOne (exited)

Your Role

Our tech team is expanding rapidly to keep pace with the ambitious feature roadmap we've set out. We are therefore hiring experienced Senior Software Engineers, to help us build and scale our product. You’ll have the opportunity to help define our roadmap and find the best technical solutions to help our customers. You will also have time to run some experiments and bring new ideas to the table.

Reporting directly to our Tech Lead, you will be responsible for:

• Interacting with the Product Manager to review project specs
• Preparing integration plans, break-downs, and estimations
• Hands-on code implementation, PRs, code reviews, testing, etc.

You'll be working with Michael (co-founder and CTO) along with the product team and the engineering team (web developers, SRE, data scientists).

What you will be working with

• Ruby, Ruby on Ruby (latest)
• PostgreSQL, Redis
• Hotwire (Turbo & Stimulus)
• Tailwind CSS

Your Qualifications

Must-haves

💼 5+ years of experience:

• As a back-end or full-stack software engineer
• In tech scale-ups or any similarly agile and fast-paced environment
• On large-scale products where your code was used by thousands of monthly users

🗣 Strong communication & collaborative skills (perfectly fluent in English)

🧢 Ownership and commitment - we’re looking for owners, not renters

⚡️ Doer mindset - we are moving fast and we need people who can find the right balance between software craftsmanship and velocity

🫶🏻 User-centricity - you are proud of what you build and you share our obsession for amazing user experience

🍭 #NSFW - you are comfortable building products that are based on uncensored models and content

Bonus points

• Past experience and/or interest in data science and generative AI (NLP, ML, MLOps, etc.)
• Experience working with globally distributed teams

Why EverAI?

📈 Exponential Growth: From 50M users in 2 years, to 100M next — and 500M beyond

🚀 Track Record of Category-Creating Innovation: We consistently launch world-first AI applications — setting the pace, not following it

🌍 Global Impact: Top-tier user growth, real-world adoption, and cultural relevance

🧠 Proven Leadership: A senior team that’s launched, scaled, and exited & IPO’d multiple scale ups — now fully focused on reshaping AI companionship

👥 Elite Remote Team: 100% remote and built to win — world-class talent from Tier 1 tech companies, with a culture of ownership, velocity, and radical creativity

🛡️ Ethical Core: Our AI ecosystem is governed by EverGuard, our proprietary AI moderation technology, ensuring responsible development at scale

What We Offer

✍️ Contract Type: We prefer B2B, but we’re flexible, what matters is long-term commitment and impact
📍 Work From Anywhere: Fully remote. Choose the environment where you do your best work
🏝️ Paid Time Off: 4 weeks (20 working days) of PTO per year to recharge and reset
👨‍👩‍👧‍👦 Annual Gathering: A yearly in-person meetup to connect, brainstorm, and celebrate wins together
❤️‍🩹 Health & Wellness Support: Monthly allowance of 100 USD for health insurance expenses + unlimited 1:1 sessions with psychologists and lifestyle experts through OpenUp (also available for up to three family members)
🏢 Co-Working Space Budget: Work from a co-working space up to twice per month (35 EUR / 40 USD per visit) to stay inspired and connected
📚 Learning Budget: Dedicated funds to support your professional growth: courses, books, conferences, events, or certifications
💻 Equipment: Company laptop provided + monitor budget up to 250 USD for your workspace setup
⚡ AI Tools Access: Premium access to ChatGPT, Cursor, Hugging Face, and others, to power your ideas and workflows

🎯 Top Tier Talent Is Our Multiplier

We’re a fully remote group of A-players from Tier 1 tech, led by an exec team who’ve launched, scaled, and exited multiple companies. We move fast, and care deeply about what we build — and who we build it with.

We’re looking for exceptional talent ready to ship & distribute world-first AI products at scale, fast, and co-create with us this category-defining business.

If that’s you — reach out and apply!

We are building Workeron AI - a company that creates "digital employees" based on AI agents. Our solutions help the founder, CEO, COO, CMO, and other roles work in conjunction with a family of agents instead of endlessly scaling staff.

We are looking for a strong Senior Product Owner / Product Manager who will take the agent direction from zero to product market fit: from hypotheses and experiments to first stable sales and scaling.

What you will be doing

• Building a product in the world of AI agents
• Bringing product hypotheses to results:
  • Formulating ICP and value proposition
  • Describing product hypotheses and metrics
  • Launching quick experiments (landing pages, pitches, demos, pilots)
  • Collecting feedback and money
• Working closely with the CEO, CMO, and engineers:
  • Decomposing ideas into product version / V0
  • Prioritizing features and tasks in the backlog
  • Balancing between custom agents and scalable solutions
• Building and testing monetization:
  • Developing tariffs and package offers (buy agent, custom agent, rent agent, subscription)
  • Calculating unit economics, CAC, LTV, payback
• Setting up product analytics for the funnel: awareness - interest - demo - paid pilot - MRR
• Forming a database of insights on the market and competitors for AI agents and "digital employees"

• Preparing product materials: one-pager, presentations, scripts for sales, requirements for marketing and traffic

   

What is critically important for us

• 5+ years of experience as a Product Owner / Product Manager in b2b SaaS, services, or complex digital products
• Real experience in bringing a product from scratch or pre-MVP to first sales / product market fit
• Ability to work in short cycles: 2-3 weeks for one hypothesis from idea to a clear result
• Strong skills in customer development and selling hypotheses through interviews, demos, pilots
• Ability to write clear product specifications and convert them into tasks for the dev team
• Readiness to work hands-on with AI tools: ChatGPT, Claude, Midjourney, no-code / low-code, analytics, etc.

• English not lower than Upper Intermediate - some clients and sources will be English-speaking

   

A plus would be

• Experience in AI products, agent systems, automation, no-code / low-code
• Working in early-stage startups, preferably in b2b

• Interest in the topic of "digital employees", the future of work and automation

   

How we work

• Format: remote, full-time, direct work with the CEO
• Work framework: short product sprints of 2-4 weeks with clear goals

• Compensation level: a combination of fixed + results-based bonus, an option is also possible after achieving key milestone

   

Within 1 month we expect from you:

• 3 priority product hypotheses for agents under specific roles are formulated and described
• For 1 priority hypothesis:
  • There is a V0 product
  • Real demos have been conducted and first pilots have been launched
  • There are first payments or clear reasons for refusal and a plan for the next iteration

• A set of insights on ICP and pain points has been collected and structured, based on which we make a decision: strengthen the hypothesis, pivot, or kill it

   

How to apply

Write briefly:

• A couple of lines about yourself and your product experience
• One example of a product that you personally brought from idea to sales (what was it, what were the numbers)
• Why you are interested in the topic of AI agents and digital employees

     and attach your resume or a link to LinkedIn.

Key Responsibilities

• Serve as the primary point of contact for all MongoDB-related topics, including reviewing and approving configuration and deployment changes.
• Manage, maintain, and support MongoDB databases across Atlas and on-premise environments.
• Administer and support SQL Server and PostgreSQL databases in both on-premise and AWS environments.
• Continuously monitor database health, performance, and availability.
• Collaborate with software engineers to optimize SQL queries and improve database schema design.
• Ensure high availability (HA) and implement robust disaster recovery (DR) strategies to minimize downtime.
• Contribute to long-term database architecture planning and scalability initiatives.
• Execute database changes, apply patches, and manage version upgrades.
• Support the design and maintenance of data extraction pipelines from MongoDB and SQL Server.

• Participate in an on-call rotation to support production systems as needed.

  
  Requirements

• 2 years of experience with Team Management
• 4+ years of experience working with data platforms, including at least 2 years in a DBA role supporting MongoDB and relational databases (infrastructure and application support).
• Hands-on experience in data engineering (Airflow preferred).
• Minimum 1 year of hands-on experience with AWS.
• Advanced T-SQL development and performance tuning skills.
• Experience with Git and modern version control workflows.
• Strong knowledge of backup, recovery, security, and data integrity best practices.
• Excellent analytical and problem-solving skills, with strong algorithmic thinking.
• Ability to thrive in a fast-paced environment and manage multiple priorities.

• Fluent English (written and spoken).

   

  Nice to Have

• Experience with dbatools, Redgate SQL Toolbelt, and Coralogix.
• Familiarity with CI/CD pipelines and database change management tools such as Liquibase.

We’re hiring an AI Agent Architect to design and build production-grade autonomous AI agents powered by LLMs. This role is for someone who has already shipped agentic systems, can architect multi-step reasoning pipelines, and knows how to make RAG reliable through evaluation, while optimizing cost at scale and addressing real-world failure modes.

What you’ll be responsible for

• Building and operating autonomous AI agents in production
• Designing multi-step reasoning pipelines (planning, tool-use, orchestration)
• Implementing RAG systems end-to-end and setting up evaluation to measure and improve quality
• Driving LLM cost optimization at scale (model selection, routing, caching/batching strategies, usage controls)
• Identifying and mitigating failure modes in AI systems (hallucinations, retrieval issues, tool errors, cascading failures)
• Designing multi-agent coordination patterns (specialized agents, handoffs, routing, communication protocols)
• Delivering these systems as cloud-native services (scalable, observable, resilient)Requirements (must-have)
• Proven experience building autonomous AI agents that run in production
• Experience designing multi-step reasoning and orchestration pipelines
• Hands-on implementation of RAG + evaluation (testing, metrics, and iterative improvement)
• Experience optimizing LLM costs at scale
• Strong understanding of AI system failure modes and practical mitigation approaches
• Experience with multi-agent coordination
• Experience building cloud-native systems (reliability, monitoring, scalable deployment)

Title: Principal AI Architect
Location: Remote 
Reports To: Global Head of AI & Advisory

About Atlas Technica

Atlas Technica is the premier Managed Service Provider (MSP) for the alternative investment industry. We power the technology behind the world’s leading hedge funds, private equity firms, and family offices. We are currently evolving into the industry’s first Managed Intelligence Provider (MIP), architecting the secure "factory floor" for institutional alpha generation.

The Opportunity

Generative AI is rewriting the playbook for financial services. For our clients, the risk of "leaking alpha" is just as high as the reward. We have launched a dedicated AI Practice to solve the dual challenge of our industry: How do we enable the power of LLMs (Copilot, ChatGPT, Claude) to generate alpha, without compromising security, compliance, or investor trust?

We are seeking a Principal AI Architect to serve as the technical anchor of this practice. You will not be a cog in a machine; you will be the chief architect of our technical roadmap. You will design our proprietary Tier 2 (Scoped Governance) and Tier 3 (Forensic Compliance) frameworks and oversee the implementation of all bespoke AI projects—including Private Enclaves, MCP Servers, and Agentic Workflows—for our top-tier global clients.

Critical Note: This is primarily a hands-on builder role. While you will have the mandate to mentor and scale a team in 2026, your first 12 months will be spent architecting, scripting, and deploying. If your recent experience has been primarily managing people rather than building technical solutions, this role is not for you.

What You Will Do (The Mission)

• Architect the "Safe Zone" (Tier 2): Design the technical middleware using Microsoft Graph API (Sites.Selected) to solve the "Permission Inheritance Trap." You will build the frameworks that restrict AI tools to curated, pristine data libraries.
• Design Forensic Compliance (Tier 3): Implement enterprise-grade prompt journaling and audit logging. You will architect the integration between LLMs and archival platforms like Global Relay and Smarsh to ensure prompt journaling meets SEC/FINRA standards (Rule 17a-4).
• Lead the Atlas AI Lab: Own our internal sandbox environment. You will design, break, and validate new AI security protocols (e.g., Shadow AI blocking via Cato Networks) before they ever touch a client’s production environment.
• Oversee the "AI Project Machine": Act as the lead architect for bespoke client builds. This includes provisioning Azure AI Foundry enclaves and building Model Context Protocol (MCP) servers to connect LLMs to specialized data sources (e.g., Bloomberg, SQL, BioMedical data).
• Lead Technical Validation: Perform feasibility studies against client tenant infrastructure. You are the "Go/No-Go" gate for technical scoping, ensuring our Bill of Materials (BOM) and hour estimates are accurate.
• Hands-On Execution: Serve as the final escalation point for complex deployments. You will write the PowerShell scripts, configure the Intune MAM policies for mobile AI defense, and build the "Golden Image" for AI-ready tenants.

What You Bring (The Stack)

• Microsoft Ecosystem Mastery: Deep expertise in Microsoft 365, SharePoint Online (unique permissions/broken inheritance), and Entra ID (Conditional Access).
• AI Infrastructure Fluency: Hands-on experience with Azure AI Foundry / Studio, the Azure Model Catalog, and frameworks like LangChain.
• Protocol Knowledge: Familiarity with MCP (Model Context Protocol) to connect LLMs to structured data sources (APIs, Databases).
• Security & Compliance: Expertise in Microsoft Purview (Sensitivity Labels, DLP) and Defender for Cloud Apps. You understand the difference between "logging" a prompt and "blocking" MNPI.
• Scripting & API Chops: Fluent in PowerShell and Python. You know how to manipulate the Graph API programmatically.
• Financial Services Context: Experience in a Hedge Fund, Private Equity firm, or highly regulated MSP is highly desirable. You understand the risk of alpha leakage and the requirements of regulatory audits.

Your First 90 Days

• Month 1: Standardize the "Golden Image" for a Tier 2 Scoped Copilot deployment.
• Month 2: Complete the first live pilot of a "Private Claude" Enclave using Azure AI Foundry.
• Month 3: Scale the "AI Project Machine" by onboarding and mentoring your first Forward Deployed Engineering (FDE) resource.

Job Description

The ideal candidate will have:
10+ years of total development experience.
5+ years of development experience with the .NET platform.
1+ years of structured JavaScript development experience.
Experience with .NET, Microservices, Cloud services, Domain Driven Development, SPA.
Strong knowledge of software development best practices and techniques (Design Patterns, Code Review, Code Refactoring, etc.).
Problem-solving attitude.
Azure expertise.
Excellent debugging, coding and design skills.
Bachelor's degree in Computer Science or equivalent.
Demonstrated ability to come up-to-speed quickly on a new technical domain/product area.
Excellent written and verbal communication skills.
Upper-Intermediate spoken and written English.

Job Responsibilities

Development of complex cloud applications.
Drive architectural service executions such as Discovery and Assessment.
Understanding of business and technical requirements for the project.
Facilitate all stakeholders cooperation to define and prioritize architectural drivers for the solution.
Define architecture strategies, standards, processes, technologies, and tools in architecture visions.
Drive or assist in solution implementation estimation and roadmap construction.
Consult development teams on adherence to standards in solution design, development, and testing.
Providing technical leadership and support to software development teams.
Maintain high standards of software quality.
Participating in the code review process.
Analysis and resolving technical and application problems.
Leverage technologies to support business needs to attain high reusability and maintainability of current and newly developed systems.
Provide system design recommendations based on technical requirements.
Drive and participate in functional design.
Engineering excellence.
Become a subject-matter expert on a broad area of the product.

Department/Project Description

The client is a global technology-enabled services company dedicated to advancing the world of veterinary medicine and empowering veterinary practices. They are bringing together products, services, and technology into a single platform that connects the customers to the solutions and insights they need to work best. There are a set of long-standing veterinary software systems, with more than 20,000 veterinary practices in the U.S., Canada, UK/Europe, and Australia.

The project is a Next-generation Cloud platform that emerges from all existing software systems to provide a truly global open platform.

- Technical Solution

GL team works on the migration of the existing legacy system approaching rebuild strategy and develops a completely new solution for practice management and operations including microservices, Front-end and integration layers.

- Architecture

Event-driven approaching Microservices implementation.

- Technical Challenges

Integration with existing customer’s systems and services.

Strangling of the existing legacy system which is a subject of migration.

Large scale project with several development teams across several geographies.

The process is SAFe (Scaled Agile Framework) with good support of internal tools and well-established Scrum events. A lot of verbal and written communication with US team members.

Technologies

.NET Core, ASP.NET Core, Azure App Services, Azure Functions

Angular, TypeScript, Single SPA

Azure SQL, MongoDB, Elasticsearch, Azure Service Bus, Apache Kafka, Auth0

We are looking for a Principal Full-Stack Engineer, who understands how systems are designed, scaled, and maintained in production environments, with a solid understanding of system design and architecture.

🌍 Who we are:

Adaptiq is a technology hub specializing in building, scaling, and supporting R&D teams for high-end, fast-growing product companies in a wide range of industries.

🧩About the Product:

You’ll work on a cloud-native AI governance platform designed to intercept, classify, and control high-velocity AI interactions in real time - without revealing the client’s identity.

The platform analyzes user prompts, AI responses, coding-agent activity, and enterprise search outputs flowing across HTTP streams, IDE extensions, LLM APIs, and internal microservices. 

You will be joining a core engineering team that is building a platform with real industry impact - one shaping how AI responsibly integrates into the modern enterprise.

🌟About the Role:

We are looking for a Principal Full-Stack Engineer (Backend-focused) to join a small, high-caliber team developing the core components of this real-time governance system.

Your primary focus will be backend engineering with Node.js/TypeScript - building high-performance services, scalable APIs, distributed processing flows, and policy-evaluation pipelines. When needed, you’ll contribute to the React-based frontend to deliver features end-to-end.

🔥 Why join this product:

✔ Mission-critical product defining how enterprises safely adopt AI.
✔ Deep engineering challenges — real-time pipelines, distributed flows, policy engines.
✔ Modern stack: Node.js, TypeScript, React, PostgreSQL, Docker, cloud-native tooling.

 ✔ Focus on architectural thinking: system structure, service-to-service communication, and production scalability.

💻 Required Competence and Skills:

• 10+ years of professional software development experience
• 5+ years of hands-on experience with Node.js and TypeScript
• Strong knowledge of backend architecture, distributed systems, and scalable service design
• Experience with a multi-service production system and service-to-service communication
• Proven experience working with SaaS-based systems
• Experience with relational databases (PostgreSQL or similar)
• Experience with containerized/cloud-native environments
• Practical React experience sufficient for full-stack delivery
• Deep understanding of JavaScript/TypeScript runtime patterns and performance considerations
• Strong communication skills and comfort working asynchronously in a distributed team
• Ability to thrive in a fast-paced, high-ownership environment
• Excellent English (written and spoken)

➕ Nice to Have:

• Experience with CI/CD pipelines (GitHub Actions or similar)
• Experience with Python and/or Go
• Production experience with large-scale TypeScript-based backend systems
• Exposure to LLM/AI products (LLM APIs, vector DBs, orchestration frameworks)
• Experience integrating ML/AI models into production systems
• Background in B2B or security-focused products
• BSc in Computer Science or related field

🚀 Why Us:

• We provide 20 days of vacation leave per calendar year (plus official national holidays of the country you are based in).
• We provide full accounting and legal support in all countries where we operate.
• We utilize a fully remote work model with a powerful workstation and co-working space in case you need it.
• We offer a highly competitive package with yearly performance and compensation reviews.

igTalents is a full-cycle recruitment agency dedicated to the iGaming industry. We partner with one of the market’s leading iGaming holdings, giving candidates access to unique growth opportunities. 

Our mission is to help iGaming professionals find the best roles and unlock their potential, supporting talent at every stage of the journey.

What experience is important:

• 3+ years of experience in a CTO / Technical Architect / Head of Engineering role
• Strong technical expertise with a hands-on approach: readiness to personally deep dive into architecture, technical solutions, and, if needed, contribute to the codebase
• Proven experience working with high-load systems and ensuring fault tolerance
• Solid understanding of modern backend and frontend frameworks, architectural patterns, and principles of building complex product platforms
• Experience leading and scaling engineering teams: structuring teams, defining areas of responsibility, strengthening tech leads, and improving overall team manageability
• Experience stabilizing platforms, reducing incidents, and implementing systematic engineering processes
• Strong background in architectural governance, technical reviews, and making key technical decisions
• Ability to build effective communication between engineering, product, and business teams
• Strong people management skills: conducting one-on-ones, developing engineers and tech leads, defining transparent growth paths, and reducing burnout risks
• Experience working with teams undergoing transformation and change
• Experience in gambling / iGaming is a strong plus
   

Responsibilities:

• Stabilize the platform and significantly improve its reliability
• Reduce the number of incidents and eliminate systemic causes of instability
• Personally participate in architectural design and key technical decision-making
• Build a clear engineering structure with transparent ownership and accountability within the team
• Optimize development processes, cross-team collaboration, and internal engineering governance
• Establish and implement engineering standards for solution quality, technical reviews, and delivery processes
• Develop and mentor tech leads and key team members through regular one-on-ones and structured feedback
• Increase engagement, accountability, and overall team effectiveness
• Ensure strong and efficient communication between business, product, and engineering
• Guarantee stable platform operations for existing brands and create a more predictable and reliable delivery framework

Why you should consider this opportunity

• Remote-first format: Mon–Fri, 10:00–19:00 (UTC+2) — skip the commute.
• Paid vacation & sick leave, plus an extra day off for your birthday.
• Competitive compensation that fairly reflects your expertise and impact.
• Engaging corporate events to learn, share experience, and grow with like-minded professionals.
• No micromanagement: we trust our team, encourage initiative, and keep a flat hierarchy for fast decisions.
• Ongoing professional development: continuous support to build new skills and advance your career.
• Dynamic work environment: a profitable, forward-thinking company where every specialist plays a key role.

About

EdSpan is an innovative EdTech company dedicated to creating cutting-edge learning experiences that empower the next generation of students. Our collaboration with a US-based private school network helps us better understand user needs while expanding our B2C and B2B products to a broader audience. Our current focus includes an AI-guided tutoring experiences, a peer-to-peer tutoring platform, and a custom learning management system.

We operate within a framework of clearly defined processes supported by automation for routine tasks, and open, productive collaboration across the team. Our workflows are based on Agile principles, with daily stand-ups, bi-weekly sprints, and other key Scrum practices. At the same time, we keep meetings to a minimum to ensure everyone can stay focused on delivering high-quality results and continuing to grow professionally.

Who you are

You’re a technically strong leader who enjoys combining hands-on expertise with thoughtful team leadership. You thrive in an environment built on clear processes, smart automation, and Agile principles, where focus and continuous improvement drive high-quality outcomes.

You’re not just delivering solutions yourself, you’re creating the structure, clarity, and support that enable Engineers to do their best work. You think beyond individual tasks, aligning technical execution with product strategy and long-term goals. You foster open, productive collaboration, keep workflows efficient and meetings purposeful, and help your team grow professionally while consistently raising the bar on engineering excellence.

Requirements

• BSc / MSc in Engineering, Computer Science or relevant field
• 5+ years of experience as an Individual Contributor (Software Developer, DevOps, ML Engineer, etc.)
• 2+ years of experience in managing technical teams
• Deep understanding of Agile practices and the SDLC
• Leadership
  • Exceptional leadership skills with the ability to mentor and develop engineering teams
  • Experience in hiring, onboarding, and training new team members
  • Experience in establishing and tracking OKRs for engineering teams
• Communication and Collaboration
  • Excellent communication and collaboration skills, business-oriented and results-focused approach
  • Proven experience in collaborating with senior executives, such as CTOs and CEOs, on technology strategy and implementation
• Technical skills
  • Experience building complex web-based products is a must: API-first, cloud platforms, automated testing, CI/CD pipelines
  • Familiarity with quality assurance processes and automation testing tools
  • Experience with DevOps practices and tools

• Must be fluent in English

   

Would be a plus

• Technical expertise aligned with our stack (PHP and Node.js, Angular, Flutter, AWS cloud) is a strong advantage

• Experience leading or contributing to AI-driven product development (e.g., AI agents, agentic workflows), or strong practical expertise in agentic systems design, prompt engineering, and model evaluation practices

   

What will you do

• People Management
  • Lead an all-remote engineering team, maintain a culture of excellence, collaboration, and mentorship;
  • Use technical expertise to guide the team in solving complex problems, occasionally conducting code reviews, and discussing solutions
  • Set goals for engineers through OKRs and track their progress toward these goals
  • Conduct one-on-ones and trainings, be responsible for career progressions
• Project Oversight
  • Enable engineers to deliver outstanding results and build products, with accountability over quality and delivery performance;
  • Monitor project progress, identify deviations, and take corrective actions to ensure timely delivery
  • Evaluate potential project risks and develop contingency plans to minimize disruptions
• Team Expansion
  • Identify opportunities for team growth and expansion, work with recruiters to hire and onboard new engineers or get provisional help from our partners
  • Enhance the technical interviewing process and candidate checks
• SDLC and Automation
  • Collaborate with engineers to optimize and streamline the SDLC process, CI/CD pipelines, and QA processes
  • Drive the adoption of software methodologies and automation practices to improve development efficiency
• Quality Improvement
  • Collaborate with across teams to improve the quality of specifications and technical requirements
  • Enhance the criteria for the definition of ready and the definition of done
  • Ensure that quality level of automated tests results in improved Lead Time and reduced amount of detects

About DualEntry

Founded in 2024, DualEntry is one of the world’s fastest-growing AI startups.

At DualEntry, the future of finance is being written today. ERP is one of the largest fintech markets in the world ($220,000,000,000+). Yet, tens of thousands of companies are still using on-premise systems, and the industry has not seen new entrants in more than 30 years.

Our AI-native ERP lets accounting teams achieve more in less time. $5M-ARR businesses to NYSE-listed companies trust DualEntry to automate away manual data entry work with AI. We’re finally making the one-person finance team a reality and putting the pain of legacy ERPs from the 1990’s in the past.

We operate with urgency and ownership. We move fast.

Why This Role Matters Now

Since starting 18 months ago, we’ve raised $100,000,0000+ from world-class investors such as Lightspeed Venture Partners, Khosla Ventures, Contrary Ventures and Google Ventures, as well as more than 20 angel investors who’ve built, scaled, and exited some of the most impactful companies of the last decade.

We got there by moving incredibly fast and hiring an exceptionally sharp, hard-working and deeply committed team from leading tech and accounting companies — Ramp, Meta, Microsoft, Lyft, PwC, Deloitte, J.P. Morgan, Bloomberg, Sage, Xero and Intuit. And some of us don't have a fancy logo on our resume and are here for a shot to prove ourselves.

We’re a small team, growing fast with huge momentum - join early.

This is an intense, hands-on role with full ownership. We expect you to push for excellence and raise the bar.

📍 Location: Remote - this role is available across all EU/LATAM countries with overlap for the US ET timezone (NYC HQ)

Where you'll create impact

• You’ll lead the initial setup of our DevOps and platform engineering practices
• You’ll design and deliver an internal platform for personal or feature environments to boost developer velocity
• You’ll build and maintain AWS-based infrastructure for performance, scale, and security
• You’ll build CI/CD pipelines and automate release processes end to end
• You’ll implement observability tooling (logging, monitoring, alerting) to detect and resolve issues early
• You’ll collaborate with developers to remove bottlenecks and improve reliability
• You’ll ensure high availability through monitoring, incident response, and recovery strategies
• You’ll drive Infrastructure as Code best practices and infrastructure automation
• You’ll document systems and processes for clarity and reproducibility

What sets you up for success

• Hardcore work ethic and high agency
• 10+ years experience overall OR 5+ years deep AWS-focused engineering experience
• Deep expertise across AWS (EC2, ECS/EKS, RDS, IAM, networking, etc.)
• Strong experience with IaC (Terraform, CloudFormation)
• Strong command of CI/CD (GitHub Actions, Jenkins, similar)
• Experience with Docker, Kubernetes, and modern deployment workflows
• Hands-on experience with observability tools (Prometheus, Grafana, Datadog)
• Comfortable building systems from scratch with high autonomy
• Time zone flexibility to support partial 24-hour coverage
• Pragmatic, hard-working, curious, and high-velocity by default

Why you’ll thrive here

• Significant equity ownership in one of the top AI companies in the world
• You’re joining early and will grow with DualEntry
• Your feedback shapes the product directly
• High-speed culture
• High-trust environment with high expectations
• Ambitious mission - ERP is one of the largest B2B software markets in the world ($220bn per year), this is a once in a lifetime opportunity to build the next generation ERP in an industry that has not seen new entrants in 30+ years

Compensation & Benefits

• Base Salary: $100–$165K
• Equity: ~$50K
• Contract type: B2B
• Remote-first team — the fastest team you will have ever worked with
• Visa sponsorship option for relocation to NYC within 2+ years
• Time Off: 15 PTO days + 12 public holidays
• Visa sponsorship option for relocation to NYC within 2+ years
• Early-stage role with high autonomy and real long-term upside
• Enjoy a learning & development budget for courses, certifications, and language learning to keep growing your skills
• Work where you feel most productive at co-working spaces or from your home office with support for setup, internet, and phone
• Plus, wellness perks and more to make your workday even better!
   

We hire the best, expect the best, and give you the masterclass of your career - an archaic and huge industry like ERP only goes through a seismic shift like this once in a lifetime. It’s hard, it’s intense, and it’s the most rewarding work you’ll do this decade.

If you’re hungry, driven, and ready to build something massive, climb aboard!

At DualEntry, we believe great products come from diverse teams.

We’re an equal opportunity employer, and we’re committed to a culture where everyone feels included, supported, and able to do their best work.

ThirstySprout is the exclusive recruiting partner for this role. We represent a leading global travel technology company that has raised over $750M in funding and serves hundreds of millions of travelers worldwide. Their B2B division powers AI-driven travel and fintech solutions for major airline, hospitality, and financial services brands. This team operates at Series A speed inside that larger organization — high ownership, fast iteration, and AI-native engineering culture.

About the Team

The Customer Experience (CX) Product team owns the entire post-booking journey — from the moment a trip is booked through changes, disruptions, refunds, and customer support interactions.

The team builds and operates the systems that enable fast, high-quality support at scale, including customer self-serve experiences within the app and partner-integrated flows, internal agent platforms for efficient human resolution, and a flagship agentic AI platform used both internally and offered as a B2B solution for global travel partners.

Together, these platforms support millions of travelers across chat, voice, web, and third-party channels, powering seamless post-booking experiences worldwide.

About the Role

As a Forward Deployed Engineer —  on AI Voice & Chat Platform team, you’ll combine engineering depth with customer-facing collaboration, embedding directly with partners to design, implement, and iterate on AI-driven service automation — from API integration across telephony, CRM, and travel supply systems to LLM prompt design, testing, and ongoing optimization.

This role bridges applied AI engineering, field deployment, and partner co-creation. It’s key to scaling the next generation of autonomous service technology for the travel industry.

Key Responsibilities

Platform Operations

• Configure and maintain AI assistant deployments across partner environments, including conversational flows, LLM prompt management, and system orchestration
• Conduct user acceptance testing (UAT) and regression QA for voice/chat bots — measuring and tracking accuracy, latency, and conversational quality
• Monitor operational health through analytics and logging tools; identify issues and coordinate fixes with Product and Core Engineering
• Contribute to the design of self-serve configuration capabilities for partners

Partner Integration & Enablement

• Support technical and operational onboarding for new partner integrations, including telephony (Twilio, Amazon Connect, Genesys, Five9, Avaya), CRM/ticketing (Salesforce, Zendesk, ServiceNow), and travel inventory platforms (PMS, GDS, CRS)
• Work hands-on with partner engineers to implement and validate platform capabilities and best practices
• Maintain strong relationships with external and internal stakeholders to ensure satisfaction, adoption, and continuous improvement

Data, Quality & Continuous Improvement

• Define and track performance metrics including conversation accuracy, escalation frequency, latency, and adherence to partner policies
• Design experiments and analyze conversation data using SQL, Python, and other tools to identify trends and performance gaps
• Contribute to prompt engineering and test new conversational behaviors to ensure the assistant meets partner brand tone and expectations

System Architecture & Workflow Automation

• Understand and document how telephony, CRM, and AI components interconnect; identify risks and opportunities for optimization
• Build and maintain automation scripts and tools to streamline implementation and monitoring
• Ensure robust data governance, version control, and documentation for all integrations

Cross-Functional Collaboration

• Serve as operational liaison between Product, AI Engineering, and operational teams
• Act as incident manager during outages or performance issues — swift triage, communication, and resolution
• Support roadmap planning with data-backed insights into feature adoption, partner feedback, and operational pain points

Minimum Qualifications

• Hands-on experience with APIs, JSON, SQL, and Python for data manipulation, workflow validation, and automation
• Understanding of LLM-based systems, prompt design, and conversational AI testing methodologies
• Familiarity with voice synthesis and ASR technologies (e.g., ElevenLabs, Whisper, Deepgram, OpenAI Realtime)
• Knowledge of cloud telephony / CPaaS providers (e.g., Twilio, Amazon Connect, Genesys, Avaya, Five9)
• Experience with CRM and ticketing systems (Salesforce, Zendesk, or equivalent) and their connection to voice/chat workflows
• Bias for action — autonomous, takes initiative to research problems, find solutions, and communicate with stakeholders
• Excellent written and verbal communication skills in English
• Ability to travel to the United States (~15–20%) for partner engagements

Preferred Qualifications

• Technical and operational knowledge of the travel technology ecosystem — GDS systems (Amadeus, Sabre, Travelport), hotel PMS/CRS platforms, OTA partner APIs for flights, hotels, and ancillary products
• Experience in a Forward Deployed, Solutions Engineering, or Applied AI implementation role
• Experience implementing contact routing, IVRs, and customer journey flows using technologies like NICE IEX, Amazon Connect, or Kustomer
• Prior experience with AI chatbot/voicebot operations and/or B2B SaaS integrations
• Demonstrated ability to manage complex partner integrations from kickoff through steady-state support
• Proficiency with operational tools such as Jira, Confluence, Amplitude, Datadog
• Deep subject matter expertise in customer service operations
• Ability to create compelling data visualizations that communicate complex insights clearly