Jobs

At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed.

We are looking for a Senior ML & AI Engineer to join us as part of our team.

About the role

PitchBook’s Machine Learning Engineer is responsible for using machine learning, statistical modeling, and natural language processing (NLP) to collect a high volume of data for the PitchBook Platform and surface insights for the capital markets. This role will also serve as a resource and mentor for junior members of the team. A strong motivation to succeed is critical, and everyone has the opportunity to shape the long-term direction of our team.

About the project

PitchBook — a platform for investment professionals. Our software provides access to data and the analytical tools to get answers fast and discover promising opportunities. Uncovers actionable insights and trends hidden within the financial data of more than three million companies. Users all over the world include large corporations, start-ups, venture capital and private equity firms, investment banks, and many others. Features of PitchBook: Advanced search / Discovery & insights / Company profiles / Workflow & efficiency / Financials, and many more.

Team

Engineering Manager, 6 ML & AI Engineers

Work Environment

The role offers a flexible work schedule, allowing you to adapt your working hours with the requirement to attend all team meetings. The team follows a Scrum-based Agile methodology.

As a qualified expert, You will

• Work with GenAI & LLMs: Design, develop, and fine-tune generative AI models using transformer architectures. Implement advanced techniques to create practical solutions for real-world challenges.
• Use Modern Toolkits: Leverage frameworks like LangChain, LangGraph, and LangSmith to build automated pipelines and intelligent agents. Integrate these tools with vector databases for efficient similarity search and real-time analysis.
• Extract Data Insights: Process and analyze large volumes of unstructured data using embeddings and statistical modeling to identify meaningful insights.
• Build Scalable Systems: Collaborate with cross-functional teams to create production-grade ML systems that handle real-time, high-volume data processing.
• Mentor & Lead: Act as a mentor for junior team members and stay updated on trends in Agentic AI, transformer models, and generative systems.
• Collaborate & Communicate: Work with Product and Engineering teams to improve data management and support innovation. Present complex analyses clearly and effectively.
• Tech Stack & Focus Areas:
• Work with generative AI and transformer models, integrating frameworks like LangChain, LangGraph, and LangSmith to automate workflows and build intelligent systems.
• Use PyTorch, Scikit-Learn, and Spacy to build NLP pipelines. Implement vector databases for high-dimensional data embeddings and develop hybrid models to extract insights from diverse data sources.

We’re looking for you if you have:

• Educational Background: You hold a Bachelor’s or Master’s degree in Computer Science, Machine Learning, Statistics, or a related field.
• Experience: You bring 4+ years of production experience in the ML field, with a track record in developing transformer-based models and deploying them in scalable systems.

• Technical Expertise:

  - Proficient in Python and machine and deep learning frameworks like TensorFlow, PyTorch, ScikitLearn, Spacy, or others.

  - Experienced in natural language processing and modern LLM-based techniques.

  - Experience with full ML lifecycle, data preprocessing, training, evaluation stage, and monitoring techniques.

  - Skilled with SQL and data extraction methods.

• Innovative Thinker: You thrive on solving complex problems and are always exploring new trends in Generative AI.
• Collaborator & Communicator: You’re an excellent communicator able to collaborate and professionally express your thoughts to team members, other engineering teams, and stakeholders.
• Domain Knowledge: Exposure to financial services, investment banking, venture capital, or private equity is nice to have.

What’s in it for You

Reveal great tech solutions

Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling client growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients.

Experience an agile and flexible working environment

Enjoy the freedom of fully remote work with a flexible working schedule. Empower yourself with a stable workload and a stable income, supported by provided laptops and licensed software. We focus on lasting cooperation and unite result-oriented individuals who stand on a high-performance approach to work.

Embrace the opportunity for personal and professional growth

Benefit from performance and merit reviews, elevate your skills with personal development plans, and individual learning through the corporate library, public speaking support, and more.

Be among like-minded people

Work with a team of one mind who cares about what they do and how they do. Collaborate with top-notch experts who are always ready to help and support you through any challenges. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values. Feel supported by your HR, and take advantage of our referral bonus program.

Interview steps

• Pre-Screening with the recruiter
• Technical interview (up to 90 min)
• System Design interview (up to 45 min)
• Behavioral Round with Product Manager (45 min)
• Final interview with Engineering Manager (60 min).

Hi! We’re Moodro — a Ukrainian defense tech company building autonomous counter-UAS solutions with a strong focus on Electronic Warfare and signals-driven effects. Our products are designed to work in real field conditions, not only in lab demos. We’re expanding international traction and strengthening our commercial/capture function outside the U.S.

The role

We’re hiring an EU Business Development / Capture Manager to cover Europe. This is a hands-on role focused on customer engagement, opportunity shaping, and disciplined pipeline execution. It is not a reseller/broker position and not a “proposal-only” desk role.

What you’ll do

• Build and own the European pipeline: identify, qualify, and shape opportunities we can win.
• Drive working-level customer engagement: discovery, demos, follow-ups, translating operational needs into actionable requirements and capture actions.
• Run capture basics: account/contact plans, meeting notes, action items, opportunity reviews.
• Coordinate with internal stakeholders (technical, leadership, finance/contracts) to align solution, timelines, and proposal readiness.
• Represent Moodro at relevant European events, customer meetings, and partner sessions (regular travel).
•  

What success looks like

• Consistent customer engagement cadence (meetings/demos/follow-ups).
• A qualified pipeline with clear next steps and realistic win paths.
• Opportunity shaping progress (requirements clarity, advocacy building, solution alignment).

• Clear capture milestones achieved on priority pursuits.

   

What we’re looking for

• Proven experience in BD/capture/partnerships in defense, security, aerospace, telecom/RF, or adjacent B2G environments.
• Comfortable with field-facing work: customer discovery + demos + follow-up discipline.
• Ability to navigate long cycles, stakeholder mapping, and multi-party deals (including teaming/partners).
• Strong written and verbal English for international work (C1/C2 preferred; native not required).
• Willingness to travel across Europe.

Nice to have

• Direct exposure to EW / RF / SIGINT / counter-UAS / C5ISR.
• Existing network across EU defense/security stakeholders and integrators.
• Prior experience working with NATO-facing environments or international partners.

Work format

• Remote within Europe + regular travel for customer engagements and events.

Seeking an experienced VS Code extension developer to create and maintain a private productivity extension for internal engineering teams. The extension will surface DevOps dashboards, time tracking, infrastructure monitoring, log viewers, and automated reporting within the editor to streamline workflows. Must have strong TypeScript and Node.js skills, deep knowledge of the VS Code Extension API, and experience with bundlers (Webpack or ESBuild). Familiarity with CI/CD, container environments, cloud infrastructure, React or Webview UIs, REST APIs, and WebSocket/streaming logs is required.

Only applicants with prior experience developing and publishing VS Code extensions will be considered.

About your key responsibilities and impact:

• Designing and implementing scalable and efficient software architectures;
• Writing, testing, and debugging complex code for new and existing software applications;
• Providing guidance and mentorship to junior engineers and team members;
• Conducting thorough code reviews to ensure code quality, security, and best practices;
• Creating and maintaining comprehensive technical documentation for software development and system design;
• Leading and managing software development projects, ensuring timely delivery and quality (shared responsibility with the Delivery Manager);
• Working closely with cross-functional teams, including product management, design, and operations, to align development efforts with business goals;
• Researching and implementing new technologies and methodologies to improve software performance and development processes;
• Identifying and resolving complex software issues and technical challenges;
• Driving continuous improvement in software development practices and processes;
• Communicating effectively with stakeholders, including presenting technical concepts and project updates;
• Delivering code to production in a timely manner according to business expectations.

Essential professional experience:

• 3+ years of experience in back end;
• System Design & Architecture – strong experience designing scalable, resilient .NET systems using microservices, event-driven and cloud-native architectures (Azure/AWS);
• Backend Expertise – advanced C# skills, RESTful API development, asynchronous programming, and deep understanding of design and resilience patterns (DDD, CQRS, circuit breaker, etc.);
• Database Mastery – proficiency in SQL optimization, data modeling, indexing, and experience with both relational and NoSQL databases;
• Messaging & Performance – hands-on Kafka expertise, high-load system optimization, caching, and distributed computing;
• DevOps & Cloud – solid experience with CI/CD pipelines, Docker/Kubernetes, and infrastructure automation;
• Quality & Observability – strong focus on testing (xUnit, NUnit), monitoring (Serilog, App Insights), and secure coding practices;
• Leadership & Collaboration – mentoring peers, driving technical decisions, and ensuring engineering excellence within Agile teams;
• Languages – Intermediate+ English, B2+ Ukrainian/Russian

About the Company:

Our client is a San Francisco-based cybersecurity startup helping organizations secure and manage sensitive data. Their AI-powered platform discovers, classifies, and protects sensitive data across cloud apps, infrastructure, and internal systems, preventing leaks and ensuring compliance.

About the Product:
The first AI-native data leak prevention (DLP) solution, designed for modern enterprises. It protects sensitive data across SaaS, email, endpoints, and AI tools with high accuracy and minimal disruption. The Developer Platform allows flexible integration of data protection capabilities.

About the Role:
As a Backend Engineer, you’ll build low-latency, real-time microservices for detecting sensitive data. This team focuses on data exfiltration prevention on endpoints (MacOS or Windows), developing core platform features using deep OS-level knowledge.

Requirements:

• Minimum 5+ years of related work experience.
• Expertise in one of the following: Objective-C, Swift on MacOS or C/C++ on Windows.
• Demonstrable expertise in developing agents on one of MacOS or Windows:
• On MacOS, practical development experience with Endpoint Security System Extension is required. A plus will be knowledge of IOKit and of MacOS VFS model.
• On Windows, practical development experience with WDF (Windows Driver Frameworks), filter drivers and familiarity with user mode apps is required.
• Readiness to learn other systems languages (e.g. Rust, Go, Python). Prior experience in one of these languages is a definite plus.
• Experience with kernel-level debugging processes and tools. Ability to use reverse engineering techniques and debugging of kernel space code.
• Ability to decompose complex business problems and own them end to end across teams.
• Upper-Intermediate English.

Responsibilities:

• Designing and developing data exfiltration prevention apps, drivers, system extensions and services on MacOS or Windows.
• Maintaining and evolving mission-critical agents on endpoints.
• Own complex features from design to delivery and troubleshoot issues from customers.
• Designing and building secure software with cross-platform deliverables (Windows, MacOS).
• Writing and maintaining documentation about internal and public services.

What we offer:

• Long-term employment with competitive compensation, based on experience.
• Possibility to work remotely.
• An open, transparent and fun work culture.
• Multi-national team and collaborative work environment.
• Continuous knowledge sharing with engaged co-workers.
• Career and professional growth opportunities.

Description

We are looking for a Middle/Senior DWH Engineer to design, build, and maintain scalable data warehouse solutions that power analytics and business decision-making. You will work across the full data lifecycle — from ingestion and modeling to optimization, reliability, and automation — collaborating closely with analysts, developers, and business stakeholders.

Requirements

• Strong SQL skills: complex queries, CTEs, window functions, analytical queries (5+ years experience);
• Knowledge of Python or other scripting languages for data transformations (3+ years experience);
• Deep understanding of DWH concepts: ETL/ELT, Data Vault, Kimball, Star/Snowflake schemas (4+ years experience);
• Experience with Airflow or other data pipeline orchestrators (3+ years experience);
• Hands-on experience with modern DWH and query engines: BigQuery, Snowflake, Redshift, ClickHouse, Vertica, AWS Athena, Trino (2+ years experience);
• Confident use of Git; experience with team workflows (pull requests, rebasing, merge conflict resolution) (5+ years experience);
• Understanding of server and cloud infrastructure: basic skills in configuration, maintenance, monitoring, and load control (2+ years experience).

Nice to Have

• Experience with CDC tools and streaming data sources;
• Knowledge of Docker, Kubernetes, and Infrastructure as Code (Terraform);
• Experience with cloud platforms: AWS, GCP, or Azure;
• Familiarity with data governance, data cataloging, and lineage tools.

Responsibilities:

• Design, build, and maintain scalable Data Warehouse architectures aligned with business needs;
• Develop and optimize ETL/ELT pipelines using Python/Airflow and custom solutions;
• Work with DWH\Datalake: PostgreSQL, Trino, BigQuery;
• Implement incremental loads, CDC, backfills, and reprocessing strategies;
• Optimize query performance, data models, and pipeline execution;
• Ensure data quality through validation, automated testing, monitoring, and alerting;
• Integrate new data sources (APIs, third-party systems, raw data) without disrupting existing pipelines;
• Collaborate with analysts, engineers, BI teams, and business stakeholders to translate requirements into data solutions;
• Mentor engineers, review code, and contribute to data standards and best practices.

Benefits

💸 Flexible payment options: choose the method that works best for you;
🧾 Tax assistance included: we handle part of your taxes and provide guidance on the local setup;
🎁 Financial perks: Bonuses for holidays, B-day, work milestones and more - just to show we care;
📈 Learn & grow: We cover courses and certifications — and offer real opportunities to grow your career with us;
🥐 Benefit Сafeteria: Choose what suits you — sports, language courses, therapy sessions, and more;
🎉 Stay connected: From team-building events to industry conferences — we bring people together online, offline, and on stage;
💻 Modern Equipment: We provide new laptops along with essential peripherals like monitors and headphones for a comfortable workflow;
🕘 Your schedule, your rules: Start your day at 9, 10, or even 11 — we care about results, not clock-ins.

On behalf of our Client, a well-established financial institution from the Caribbean region Mobilunity is looking for a DevOps Solution Architect. 

Our Client is the largest bank in the Caribbean region that serves 14 countries/territories. The aim is to make this organization from a traditional bank into a new era of fintech, working on the edge of what current fintech may offer.

You will work in a fully remote, globally distributed team, collaborating closely with Product Managers, Engineers, and Business stakeholders across different time zones.

This role requires a high level of autonomy, strong product thinking, and the ability to operate in ambiguity. You will proactively shape requirements, facilitate discussions, and ensure design consistency across the product ecosystem.

We are seeking an experienced Solutions Architect — DevOps to design, implement, and lead cloud-native and hybrid solutions across AWS and Microsoft Azure. This role bridges architecture, DevOps, and platform engineering, ensuring scalable, secure, and highly available systems while enabling CI/CD, infrastructure automation, and operational excellence.

You will collaborate with engineering, security, and business stakeholders to translate requirements into robust cloud architectures and guide teams through implementation and optimization.
 

Key Responsibilities:
 

Architecture & Cloud Designural Design 

•  Design end-to-end cloud solutions leveraging AWS and Azure services, including compute, storage, networking, security, and managed services
• Define reference architectures, landing zones, and multi-account / multi-subscription strategiesEvaluate existing systems and propose architectural improvements aligned with business and technical goals.
•  Architect hybrid and multi-cloud solutions with high availability, disaster recovery, and fault tolerance
• Ensure solutions meet performance, security, compliance, and cost-optimization requirements
   

DevOps & Platform Engineering
 

• Lead the design and implementation of CI/CD pipelines using tools such as GitHub Actions, GitLab CI, Azure DevOps, or Jenkins.
•  Implement Infrastructure as Code (IaC) using Terraform, AWS CloudFormation, and Azure Bicep/ARM
• Enable containerized and orchestration platforms using Docker, Kubernetes (EKS, AKS), and related tooling
• Drive automation for provisioning, configuration management, monitoring, and deployments
   

Security, Reliability & Operations
 

• Implement cloud security best practices including IAM, network segmentation, secrets management, and encryption
• Integrate DevSecOps practices, security scanning, and policy-as-code
• Design observability solutions using CloudWatch, Azure Monitor, Prometheus, Grafana, and logging platforms
• Support SRE practices, incident response, and operational runbooks
   

Collaboration & Leadership
 

• Act as a technical leader and trusted advisor to development teams and stakeholders
• Review architectures and provide guidance on cloud-native patterns and best practices
• Participate in technical decision-making, proofs of concept, and cloud migrations
   

Required Qualifications:
 

• 10+ years of experience in cloud architecture, DevOps, or platform engineering
• Extensive hands-on experience with AWS and Microsoft Azure in production environments
• Strong expertise in Infrastructure as Code (Terraform strongly preferred)
• Experience designing and operating CI/CD pipelines at scale
• Proficiency with containerization and orchestration (Docker, Kubernetes, EKS, AKS)
• Solid understanding of cloud networking, security, and identity management
• Proven ability to translate business requirements into technical solutions
   

Preferred Qualifications:
 

• AWS Certifications (e.g., AWS Solutions Architect — Professional)
• Microsoft Azure Certifications (e.g., Azure Solutions Architect Expert)
• Experience with multi-cloud or hybrid cloud strategies
• Familiarity with service mesh, event-driven architectures, and serverless platforms
• Experience in regulated environments (finance, healthcare, government)
• Consulting or customer-facing architecture experience
   

In return, we offer:
 

• The friendliest community of like-minded IT people
• Open knowledge-sharing environment – exclusive access to a rich pool of colleagues willing to share their endless insights into the broadest variety of modern technologies
• Mobilunity Medical Insurance program is designed to meet our team’s needs
• Paid vacations and sick leaves, including 5 paid days per year that don’t require a sick note
• Perfect office location in the city center (900m from Lukyanivska metro station with a green and spacious neighborhood) or remote mode engagement: you can choose a convenient one for you, with a possibility to fit together both
• No open-spaces setup – separate rooms for every team’s comfort, and multiple lounge and gaming zones
• English classes in 1-to-1 & group modes with elements of gamification
• Neverending fun: sports events, tournaments, music band, multiple affinity groups

 Come on board, and let’s grow together!

About the Company & Product

We are a rapidly growing product company entering the global gaming entertainment market. Our mission is to bring innovative business solutions to the iGaming industry by developing cutting-edge technology products.

Our core product is a SaaS gaming platform made up of over 200 microservices, delivering a seamless gaming experience to millions of users worldwide. It provides a full suite of iGaming solutions, including game management, payments, analytics, CRM, and more.

We actively scale our B2B direction, we are looking for a Product Owner to help us evolve and scale our platform, drive the development of internal services and modules, and ensure their business value and technical consistency. As a Product Owner, you are responsible for translating product vision and business priorities into a clear, structured, and actionable backlog that the team can confidently deliver.

You act as the single point of entry for requirements into the team, ensuring focus, clarity, and alignment between business goals, product strategy, and technical execution. You work closely with the Product Manager, delivery teams, and stakeholders to maximize product value while maintaining sustainable delivery.

What you’ll be doing

• Own and maintain a prioritized, transparent, and outcome-oriented product backlog;
• Translate product vision and strategic goals into well-defined user stories with clear acceptance criteria, Definition of Ready (DoR), and Definition of Done (DoD);
• Serve as the single source of truth for requirements within the team — filtering incoming requests, removing noise, and preserving focus on high-value work;
• Work closely with the Product Manager to align sprint priorities, success metrics, and expected outcomes;
• Balance business priorities with technical needs to ensure sustainable product evolution without accumulating technical debt;
• Actively participate in sprint ceremonies: refinement, planning, demos, and retrospectives, providing context and clarity to the team;
• Ensure the team clearly understands not only what needs to be built, but why it matters for the product and users;
• Analyze the impact of delivered features using data (adoption, usage, conversion, error rates) and adjust priorities accordingly;
• Communicate status, risks, and expectations clearly to the Product Manager, PMO, and stakeholders;

• Foster a collaborative culture with engineering teams, respecting technical expertise and supporting joint decision-making.

   

You have these superpowers

• 3+ years of experience as a Product Owner or Business Analyst in a product or delivery team;
• Experience in iGaming environment must have (B2B or B2C);
• Proven ability to turn product vision and strategy into concrete, deliverable outcomes;
• Strong backlog management skills — your backlog is always structured, prioritized, and meaningful;
• Ability to explain why a feature matters, not just what needs to be built;
• Solid understanding of Agile and Scrum in practice, with experience supporting stable sprint execution;
• Experience working with product metrics and understanding how to measure feature success (adoption, usage, conversion, impact);
• Strong communication skills and the ability to align business expectations with delivery realities;
• Confidence in working with tools such as Jira, Confluence;

• Ability to balance user value, business priorities, technical constraints, and realistic delivery scope.

   

What We Value in a Product Owner

• You are a product leader, not just a task manager — you see real business and user value behind every user story;
• You translate strategy into action and help the team understand not only what to build, but why;
• You are the single gatekeeper of requirements, protecting the team from chaos and constant context switching;
• You build trust between product and delivery teams, fostering shared ownership and collaboration;
• You understand both business and technology and help find the right balance between value, risks, and technical reality;
• You think in data, not assumptions — decisions are driven by results and impact;
• You stay fully in context — you know the state of your product, sprint progress, and how each step moves the product toward its goals;

• You collaborate closely with the Product Manager and PMO to ensure aligned processes, clear metrics, and a unified delivery system.

   

How We Measure Success

• The backlog is always up-to-date, prioritized, and clearly understood by the team;
• Sprint outcomes deliver tangible value that impacts the product and user experience;
• Sprint Goals are consistently achieved, and delivery metrics (velocity, completion rate, predictability) remain healthy;
• The team understands the context and purpose of their work, resulting in motivated execution without confusion or excessive clarifications;
• Communication between product, technical, and delivery functions is aligned, dependencies are managed proactively, and processes run without chaos.0
•  

It’s cool to work with us

• Flexible schedule: work from home, the office, or hybrid;
• Extra day off for your birthday: take a break any day within the month;
• Competitive compensation that matches your skills;
• Medical insurance (in Ukraine) and health support;
• 20 paid vacation days + 15 unpaid vacation days;
• 22 sick leave days, including mental health days;
• Gifts and support for life’s key moments (wedding, childbirth, kindergarten);

• Company-provided equipment based on your preferences.

   

We care about your comfort and help you maintain work-life balance!

We are looking for an Autonomous systems engineer with a background in physics, control theory and mathematical modelling. The ideal candidate will have a strong math background, experience with autonomous systems, modelling and control design.

We consider engineers at Middle and Senior levels - tasks and responsibilities will be adjusted accordingly. 
Required Qualifications:
• 3+ years in R&D software development 
• Mathematical modelling, system identification and control 
• Matlab/Simulink 
• Signal processing 
• Experience with C++ , Python 
• Ability to quickly navigate through recent research and trends in control theory and autonomous systems. 
Nice to Have: 
• Aerodynamics fundamentals 
• Machine Learning 
• Simulation tools (Gazebo, AirSim) 
• SITL, HITL testing 
• PX4, Betaflight, ArduPilot

Senior Agentic AI Engineer

Rozeta Labs · Full-time Contractor · 100% Remote · $4,000 – $5,000 / month · EST overlap preferred

About Rozeta Labs

Rozeta Labs is an early-stage AI implementation company. We design and build custom AI automation systems for businesses that have real operational problems — home services, professional services, health and wellness, private equity-backed companies, and beyond. Our clients are owner-operators and leadership teams who need AI to actually work inside their business, not just demo well.

We don't sell software. We sell outcomes. We go inside a client's operation, identify where AI creates the most leverage, build it, and make sure it runs.

We're a startup. Small team, high standards, moving fast. This is a foundational hire and you'll work directly with the founder on every engagement.

The Role

You're the technical engine behind every client engagement. When we bring on a new client, you design the AI system, build it, maintain it, and expand it over time. You'll sit directly alongside the founder — shaping how we architect solutions, how we deliver them, and how Rozeta evolves as the AI landscape shifts under our feet.

This is not a research role. Not a prompt engineering role. Not an internal tooling role. You build production AI systems that drive measurable business outcomes for real companies — and you've done it before.

As we grow, you'll be responsible for hiring additional engineers who will help with an increase in client engagements.

What You'll Build

• Multi-agent orchestration systems that automate complex business workflows end-to-end
• RAG pipelines that give AI agents access to client-specific knowledge — pricing, inventory, history, policies
• Tool-use architectures that connect AI to CRMs, scheduling platforms, and business software via APIs and MCP
• Human-in-the-loop workflows with deliberate escalation logic and clean handoffs
• Evaluation frameworks that actually measure whether a system is working

What We're Looking For

• Direct, hands-on experience implementing AI systems that drove real business outcomes for small, mid-size, or enterprise clients — not internal tools, not side projects, not demos
• Deep fluency with agentic AI architecture: multi-agent patterns, planner/executor design, tool use, failure handling, observability
• Extensive experience with the Anthropic SDK and Claude API — tool use, extended thinking, long context, MCP
• Hands-on experience building with AI-native coding tools: Claude Code, Codex, Cursor, and similar agentic development environments
• Strong Python; hands-on experience with LangGraph, LangChain, or equivalent orchestration frameworks
• Real RAG experience: embedding models, vector databases, retrieval quality — not just the concept
• The ability to look at a business process and translate it into an agent workflow — you think in systems, not just in code
• Strong written and spoken English — you'll communicate directly with US-based founders and clients

• Comfort working in a fast-moving startup where the scope expands and the playbook is still being written

   

Nice to Have

• Background in solutions engineering, technical consulting, or client-facing implementation roles
• Experience with automation platforms like Zapier or Make in a technical capacity
• Familiarity with business software across verticals — CRMs, scheduling tools, EHRs, field service platforms

• Experience building and shipping AI products or services, not just internal automation

   

Compensation and Structure

• $4,000 – $5,000 / month depending on experience
• Full-time independent contractor, paid monthly
• 100% remote, async-first with regular overlap during EST business hours

• You'll go through a technical evaluation as part of the interview process

   

To Apply

1. Submit Resume

2. Record a short Loom (3–5 minutes, no editing required).

Tell us who you are and walk us through the most interesting AI system you've ever built. What did it do, who did it help, and how do you know it actually worked? We want to see how you think — not a polished presentation.

Applications without a Loom will not be reviewed.

THE ROLE

We currently have an extremely exciting position open for an Lead Android Mobile Application Developer who will be taking a key role in building and maintaining our Android mobile app. We’re looking for talented & passionate individuals who have demonstrable commercial experience (3 years+) of building Android Mobile apps from inception through to release and onwards.

REQUIREMENTS

- Outstanding technical knowledge of mobile application development.

- Strong commercial development experience using Kotlin/Java and Android.

- Experience in developing user interfaces and collaborating with UX/UI designers

- Experience integrating with back-end web services using REST/JSON APIs

- Experience of Google Play Store management

- Experience working as part of an Agile / Scrum team

ROLES AND RESPONSIBILITIES

- Maintaining and improving our existing mobile applications.

- Participate in the full software development life cycle (including support and continuous integration) and ensure the required level of device compatibility.

- Work closely with the web / development / design team to add new features and functionality.

- Submissions to the Google Play Store.

Main Responsibilities: 

– Spearhead jurisdictional due-diligence programs across our licensed markets, ensuring end-to-end regulatory alignment and proactive risk mitigation.

– Draft, negotiate, and close complex commercial agreements, securing optimal terms while safeguarding the group’s legal position.

– Architect and maintain corporate-governance frameworks, advising leadership on strategic risk and policy optimisation.

– Partner with Compliance, Product, and Business verticals to align legal insights with commercial objectives and product roadmaps.

– Monitor and interpret evolving regulation, trends, and best practice, translating insights into actionable guidance for the executive team.

– Provide ad-hoc counsel on emerging matters to enable rapid, compliant decision-making.

Mandatory Requirements

– Knowledge of the Ukrainian language is a must

– Proven experience working within the Ukrainian jurisdiction

– LLB / LLM (or equivalent)

– 3+ years PQE, including 2+ years in iGaming (must have)

– Proven ability to navigate multi-jurisdictional frameworks and deliver practical, business-centric solutions.

– Excellence in contract drafting, negotiation, and stakeholder communication.

– Meticulous, proactive, and results-driven with strong organisational skills and ethical standards.

We offer

• Quarterly bonuses.
• Remote & flexible schedule.
• Medical insurance (for you +1) & financial support for special events.
• Professional development reimbursement & online English classes.
• Employee referral bonus program.

We are a U.S.-based fintech startup operating in the investment and financial services space. Our distributed teams work across Poland, the United States, and Ireland, collaborating on technology-driven solutions related to stocks and investments.

Security, compliance, and the responsible handling of sensitive financial data are central to how we operate, as we build scalable products in a regulated environment.

Responsibilities

- Develop high-quality Java microservices using Spring Boot.
- Build Kafka producers, consumers, and stream-processing apps.
- Design event-driven architectures with reliability and performance.
- Implement service resiliency patterns such as retries and circuit breakers. - Collaborate on distributed system design and integration.

• Ensure logging, tracing, and monitoring of backend services.

• Support performance tuning and root cause analysis.

   

• Skills
  - Strong in Java, Spring Boot, microservices patterns.
  - Hands-on Kafka development—streams, partitions, consumer groups. - Knowledge of distributed systems architecture.
  - Familiarity with Docker, cloud-native packaging.
  - Experience in REST APIs, schema evolution, and contracts.
  - Understanding of observability (logs, metrics, traces).
  - Good debugging and performance optimization skills.

About the Role

We are looking for a highly capable AI Senior Developer to design, build, and deploy AI-powered systems across our ecommerce companies.

This role is focused on solving real business problems with modern AI tooling across marketing, ecommerce, customer support, retention, operations, finance, and research. You will work directly with leadership to identify high-leverage opportunities where AI can improve output, reduce manual work, replace fragmented tooling, and support faster, better decision-making.

This is a hands-on builder role. We are not looking for someone who only experiments with prompts. We are looking for an engineer who can design and ship real AI systems that teams use in production.

You will have access to modern AI tools, infrastructure, and a strong experimentation budget.

Responsibilities

• Design and build AI-driven systems, internal tools, and automation workflows across multiple business functions, including marketing, reporting, support, research, retention, and operations
• Develop LLM-powered tools, agents, and workflows that help teams move faster, generate better outputs, and reduce repetitive analysis
• Build systems that support use cases such as:
  
   
  • marketing performance analysis
  • customer insight extraction
  • churn and retention analysis
  • executive reporting
  • competitor monitoring
  • SEO and content workflows
  • research summarization
  • inventory and operational monitoring
    
     
• Integrate AI solutions with platforms including Shopify, Klaviyo, Meta Ads, Google Ads, Google Sheets, Slack, Notion, Gorgias, subscription platforms, analytics tools, and other internal systems
• Build reporting and analytics workflows that surface actionable insights for leadership, such as:
  
   
  • campaign performance trends
  • winning and underperforming creatives
  • creative fatigue signals
  • country-level performance patterns
  • churn drivers and retention trends
  • customer support issue patterns
  • revenue, margin, and operational summaries
    
     
• Develop data pipelines and backend services that connect APIs, structured data, and business workflows
• Prototype quickly, test rigorously, and turn successful experiments into production-ready systems
• Design safe automation layers and approval flows for AI systems that interact with business-critical tools
• Work closely with leadership to identify, prioritize, and implement the highest-impact AI opportunities
• Continuously improve AI workflows based on usage, quality, reliability, and business value

Platforms and Data Sources

You will likely work across platforms such as:

• Shopify
• Klaviyo
• Meta Ads
• Google Ads
• Google Sheets
• Slack
• Notion
• Gorgias
• Subscription platforms such as SKIO / Recharge
• Review platforms such as Trustpilot / Okendo
• Research and intelligence sources such as PubMed, competitor websites, Meta Ad Library, TikTok creative sources, SEO tools, and analytics platforms
  
   

Tech Stack

We are open to strong candidates with different technical backgrounds, but this role will likely involve technologies such as:

• Python and/or JavaScript / TypeScript
  
   
• LLM APIs and modern AI platforms
• API integrations and backend services
• Data pipelines and workflow automation
• Docker
• Cloud infrastructure
• Vector search / retrieval systems
• Reporting, analytics, and internal dashboard tooling
  
   

What Success Looks Like

Success in this role means building systems that create clear, measurable business value. For example:

• Leadership gets faster and clearer visibility into what is working, what is underperforming, and where action is needed
• Teams spend significantly less time on manual reporting, repetitive analysis, and operational admin
• AI systems help marketing, support, and operations teams produce more output with the same headcount
• Internal tools become part of the company’s daily workflow across reporting, analysis, drafting, and monitoring
• Fragmented or low-value legacy tools are replaced by more useful internal systems where appropriate
• High-impact prototypes are shipped quickly and developed into reliable production workflows
• AI improves speed and decision quality without introducing unnecessary risk into business-critical systems
  
   

Requirements

• 4+ years of software development experience with strong backend or full-stack engineering fundamentals
• 1+ years of hands-on experience building AI-powered applications, internal tools, or automation workflows
• Strong programming skills in Python and/or JavaScript / TypeScript
• Experience integrating with external APIs, SaaS platforms, and internal data sources
• Experience building internal tools, backend services, data pipelines, automations, or workflow systems
• Strong understanding of software architecture, reliability, and production system design
• Experience working with both structured and unstructured data
• Ability to move from problem definition → prototype → production in fast-moving startup environments
• Experience working in startup, growth-stage, or high-autonomy environments
• Ability to translate messy business needs into practical technical systems
• Strong communication skills and comfort working directly with founders, operators, and non-technical stakeholders
  
   

Nice to Have

• Experience with Shopify or ecommerce environments
• Experience with Klaviyo, Meta Ads, Google Ads, Gorgias, Slack, Notion, or Google Sheets integrations
• Experience building AI agents, orchestration workflows, or retrieval-based systems
• Experience with reporting, analytics, BI, or dashboarding workflows
• Experience with subscription, retention, or customer lifecycle data
• Experience designing systems with approval layers, permission boundaries, and operational guardrails
• Experience in DTC ecommerce, health, wellness, supplements, or subscription businesses
  
   

Working Style

We’re looking for someone who:

• Is highly autonomous and proactive
• Enjoys solving real business problems, not just experimenting for the sake of experimentation
• Thinks in systems, leverage, and long-term utility
• Moves fast without being careless
• Is comfortable operating in ambiguity and creating structure where needed
• Wants to build practical tools that teams genuinely rely on
  
   

Hiring Process

Our hiring process is designed to identify strong builders who can think independently and turn ideas into working systems.

Step 1 - Soft Skills Interview

An initial conversation focused on your background, communication, ownership, mindset, and how you approach ambiguity and problem solving.

Step 2 - Technical Interview

A technical interview with our engineering advisor to review your technical experience, discuss systems you’ve built, and assess how you approach architecture, integrations, reliability, and AI implementation.

Step 3 - Founder Interview

A final conversation with the founder to discuss vision, priorities, expectations, and how you would contribute to building AI capabilities across the company.

How to Apply

Please include:

• A short introduction about yourself
• Examples of AI systems, tools, automations, or internal products you’ve built
• Links to relevant projects, GitHub, repositories, or technical work
• Examples of measurable impact from your work, such as time saved, cost reduction, improved reporting, or efficiency gains
  
   

We are a forward-thinking software development company, known for our proprietary core platform and its integral components — Sportsbook, CRM, Risk Management, Antifraud, Bonus Engine, and Retail Software Suite.
Now, we are looking for a Head of Data to build and lead the company’s data function.
In this role, you will define the data strategy, develop a scalable data platform, and ensure that data drives decision-making across product, marketing, and operations in a high-volume iGaming environment.

Requirements

• 7+ years of experience working with data platforms or data engineering
• 2+ years of experience leading data teams or data initiatives
• Strong understanding of data architecture, data warehousing, and analytics systems
• Experience working with cloud data platforms (AWS preferred)
• Experience designing scalable data pipelines and analytics infrastructure
• Ability to translate business needs into data solutions
• Strong leadership and communication skills

Responsibilities

• Define and execute the company’s data strategy and architecture
• Build and lead the data team (data engineers, analysts, BI)
• Develop and evolve the data platform for high-volume transactional and behavioral data
• Ensure data quality, governance, and reliability across all data systems
• Enable product, marketing, and operations with actionable analytics and insights
• Drive data initiatives related to player behavior analytics, retention, and fraud monitoring
• Establish best practices for data engineering, analytics, and reporting

Nice to have

• Experience in iGaming, betting, fintech, or high-transaction industries
• Experience with real-time or streaming data architectures
• Experience building data teams from early or scaling stages
• AWS certifications

Working conditions

• Competitive compensation package
• Remote or hybrid work options
• Opportunity to shape and scale the data organization
• Work with modern cloud data technologies
• Collaborative and fast-growing product environment
  
  Join our passionate and talented team and be at the forefront of transforming the iGaming industry with groundbreaking live tech solutions. If you’re a visionary professional eager to shape the future of iGaming, Atlaslive invites you to apply and drive our continued success in this dynamic market.

Atlaslive — The Tech Behind the Game.

*All submitted resumes undergo a thorough review. If we do not contact you within 5 business days after your application, it means that we are unable to proceed with your candidacy at this time. However, we appreciate your interest in our company and will keep your contact details on file for future opportunities.