Jobs AI

About us:
 

BetterMe — an all-in-one well-being ecosystem empowering millions to become better — physically, mentally, and emotionally. We build what makes people better and keep challenging ourselves to inspire others.
 

About the role:
 

We are looking for an AI Content Producer to strengthen our AI capabilities within content production and help implement AI-driven solutions across our existing production workflows.
 

This role focuses on the implementation, optimization, and scaling of AI tools. You will work closely with creative and content teams, as well as external partners, to ensure a stable, efficient, and scalable AI production pipeline.
 

You will combine hands-on experience with AI tools and a producer’s mindset, taking ownership of the quality, efficiency, and speed of AI-generated content.
 

Your impact:
 

• Manage, optimize, and maintain AI production pipelines for photo, video, graphic, and text content.
• Research, test, select, and integrate AI tools into production and post-production workflows.
• Generate and process AI content, including automated editing, upscaling, and short-form content adaptation.
• Produce performance-driven creatives and support content scaling.
• Develop and refine prompts for scripts, videos, and reusable content templates.
• Ensure content quality and consistency with brand guidelines and tone of voice.
• Source and coordinate external contractors for AI-related projects.
• Run AI experiments and A/B tests to evaluate creative performance and identify opportunities for improvement.
   

About you:
 

• Hands-on experience with generative AI tools for text, image, and video creation.
• Strong understanding of prompt engineering and the ability to adapt prompts to different creative and technical requirements.
• Experience in digital marketing, content production, or post-production.
• Strong organizational and analytical skills, with a systematic and production-oriented mindset.
• English proficiency at Intermediate level or higher.
   

Nice to have:

• Experience in the fitness, wellness, or fashion industry.
• Experience with workflow automation tools.
   

What we offer:
 

• The opportunity to develop and scale AI-driven production within a large content team.
• A direct impact on content production speed, quality, and scalability.
• Freedom to experiment, test new approaches, and explore emerging AI technologies through R&D.
   

What you get at BetterMe:

A mission that inspires. Every line of code, every design, every idea helps millions of people become healthier and more confident.
Trust without micromanagement. You manage your time and make decisions independently. We value outcomes, not online hours.
Growth opportunities. There’s space for initiative, new responsibilities, and real career upgrades.
Open communication. Transparency across teams, honest feedback, and support for initiatives are part of our everyday culture.

Find more about us on social media platforms: Instagram, LinkedIn.

About the Role

As a Senior Business Systems Analyst at Pearl, you’ll play a central role in enabling workflow and workforce AI transformation, with a strong emphasis on Agent Hub requirements analysis, platform support, and project coordination. This role blends classic BSA responsibilities with project management and practical AI fluency, supporting both Agent Hub product evolution and broader AI transformation initiatives across the organization.

You’ll help define and document requirements for complex AI opportunities, translate high-level ideas into actionable work, and coordinate across engineering, prompt engineering, and internal stakeholders. This is a hybrid role designed to support both requirements analysis and execution oversight for high-impact AI operations and transformation projects. You’ll be a heavy, daily user of AI tools, not just experimenting on the side, while also contributing directly to the development and improvement of AI tools and features, especially within Agent Hub and related AI transformation initiatives. This is a great opportunity for someone who wants to work at the center of a company’s AI transformation, with meaningful ownership across both platform evolution and broader AI operations, and the chance to help shape how AI enabled work gets defined, prioritized, and operationalized.

What You’ll Do

• Evaluate and document Agent Hub product requirements, including defining requirements for future platform capabilities such as next-generation meeting recap functionality
• Coordinate with the engineering team on features, bugs, and feedback to support ongoing platform improvement
• Manage and optimize the Agent Hub platform, including monitoring operational dashboards and directing follow-up actions where needed
• Test and evaluate new Agent Hub features and fixes
• Evaluate and document requirements for major AI transformation projects, such as an Analytics Deep Dive Assistant and other complex AI opportunities
• Coordinate with Prompt Engineering on the execution of AI transformation projects, from scoping through delivery
• Translate high-level, ambiguous AI ideas into clear, actionable requirements and documentation
• Use AI tools daily to support efficient execution across analysis, documentation, prioritization, and project coordination work

What We’re Looking For

• Excellent understanding of requirements development, documentation, and management (core BSA skills)
• Strong project management skills to self-manage and coordinate various activity streams
• Good understanding of Lean / Agile software development
• Strong stakeholder communication and coordination skills
• Excellent knowledge and use of AI tools and techniques across different types of work and tasks
• Ability to translate high-level, ambiguous ideas into structured, actionable requirements
• Comfort working cross-functionally with engineering, prompt engineering, and internal business stakeholders
• Strong attention to detail and ability to manage competing priorities in a fast-paced environment
• Curious, analytical mindset with a genuine interest in AI, automation, and business process improvement
• Experience monitoring operational dashboards and driving data-informed follow-up actions is a plus

Perks and Benefits

• Time off throughout the year (paid and unpaid)
• Professional development support and encouragement
• Resources to help improve your overall well-being
• Free JustAnswer membership

In one line
We’re looking for a senior engineer who builds software by directing AI agents rather than typing code, and who can lead a production SaaS platform that way.
 

About the project
The project is a SaaS platform for culture-first hiring. It matches candidates on skills and cultural fit using psychometric profiling, a matching engine and AI-assisted assessment. The product is built and about to launch with its first pilot customers.
 

How we build: fully AI-native
The project has been built from day one with Claude Code as the main development tool. Agents write most of the code. Humans set direction, define the rules, review the output and own the result.

Concretely, the codebase has:

• CLAUDE.md files and binding playbooks (security, frontend architecture, styling) that agents must follow
• About 20 custom Claude Code skills for planning features, backend and frontend development, testing, security review, CI, dependency audits and more
• Hooks and guardrails, for example blocking agent commits to protected branches
• Parallel agents running in separate git worktrees
• MCP integrations: Playwright for visual and end-to-end testing, Jira (the roadmap syncs to Jira through Claude), Claude Design, and an accessibility checker
   

The new hire won’t just use this setup. They’ll own it, improve it, and decide how future engineers and agents work together.
 

The role
This a lead technical hire. The person drives the platform from pilot to production and owns its technical quality. They’ll work closely with the team, who also builds with Claude Code daily. We want someone who takes real ownership and pushes back, while the team keeps the final say on product direction.
 

What they’ll own

• The AI-native workflow: skills, playbooks, hooks and agent orchestration, and making the agents produce better output over time
• Judgment over agent output: reviewing AI-written code at scale, catching what drifted, and blocking what shouldn’t be merged
• Production: taking the platform live and keeping it running (deploys, monitoring, incidents)
• Security and GDPR-safe handling of sensitive candidate data
• LLM features in the product: evals, consistency, cost, prompt-injection defence and fallbacks
• Pilot feedback: turning it into scoped work
   

Must-haves

• Builds with Claude Code or a comparable agentic tool as their primary way of working, every day, for at least 6 months
• Has written their own CLAUDE.md files, skills, subagents or MCP setups, and can show them
• Can explain where agents fail and how they guard against it (tests, review, constraints, isolation)
• 7+ years in web development, with senior or lead responsibility for a SaaS product in production
• Strong TypeScript, React and Node; solid PostgreSQL. Agents write the code, but the lead has to know when it’s wrong.
• Has shipped LLM features to real users
• Pragmatic, with business sense and a startup mindset
• Excellent English and clear async communication
   

Not a fit

• “AI experience” means Copilot autocomplete or pasting into ChatGPT
• Uses AI only for boilerplate and writes the “real” code by hand
• Accepts agent output without reading the diff or running it
   

Nice to have
HR tech, recruitment or ATS experience; GDPR or EU AI Act exposure; security hardening; BullMQ, Prisma, Railway or Vercel; experience mentoring or leading.
 

Stack
React 19, Vite, Fastify 5, Prisma, PostgreSQL, Redis/BullMQ, TypeScript, Vitest, Playwright, Vercel, Railway, Anthropic models via the Vercel AI SDK.
 

Setup

• Fully remote
• Full-time and long-term
• Contract: B2B only. The candidate must have their own registered business and invoice us directly every month.
• No employment contract, and no invoicing through an agency or outsourcing company

About Us
We are a fast-growing and leading company in the AI Voice space for the iGaming industry. Our AI Voice & Messaging Player Activation Platform helps casino and betting operators turn registrations into deposits and reactivate inactive players — improving Reg→Dep conversion and player LTV at a scale human call centers can’t match. Our product is already used by 20+ brands across 8+ geographies. We are funded and building a team of top-tier talent.
 

Who We’re Looking For
We are looking for a Head of Retention & Conversion for our FX/CFD trading direction. You will own the full conversion and retention function: you build the processes, scripts, and multichannel funnels, lead the team, and drive results through data and testing.

About You
You come from FX/CFD and have led a conversion or retention desk. You know what makes a desk perform: you write scripts and messages that work for different lead segments, handle typical objections, and improve everything through A/B tests rather than guesswork. You have experience in iGaming and are interested in how AI voice and chat tools can lift conversion and retention.
 

What Awaits You
A high-intensity team where everyone is focused on results. No bureaucracy, no pointless rules, no slow teammates. Full ownership of the conversion and retention function with direct impact on revenue. Freedom to build processes, scripts, and funnels. Real room to grow as the department scales.
 

Responsibilities

• Lead the conversion and retention team: priorities, KPIs, performance, and development.
• Own the conversion and retention strategy for FX/CFD leads and clients across segments.
• Write and update call scripts and SMS / messenger texts for different lead segments, including responses to typical client objections.
• Build and optimize multichannel funnels: calls + SMS.
• Plan and run A/B tests, interpret the results, and roll out what works.
• Track and report conversion and retention metrics and make decisions based on the data.
• Explore and implement voice and chat AI bots for conversion and retention.
   

Requirements

• Experience in FX/CFD, including 1–2+ years leading a conversion or retention department (team lead, desk head, Head of).
• Experience writing call scripts and SMS / messenger texts for different lead segments, including objection handling.
• Experience building multichannel funnels (calls + SMS).
• Hands-on experience with A/B testing.
• Experience in iGaming.
   

Nice to Have

• Experience with voice or chat AI bots for conversion and retention.
   

What we offer

• Fully remote work format and flexible working hours.
• 24 days of paid vacation (sick leave, national, religious, and company holidays).
• A friendly communication culture and transparent processes.
• Dynamic work environment.
• Opportunities for professional development and career growth.
• No micromanagement — just trust, ownership, and freedom to experiment.

DOIT Software is looking for an AI/ML Engineer to join the engineering team of a B2B SaaS product company and build machine learning and AI features into its platform.

About the Client

Our client is a SaaS product company working in analyst relations (AR) and B2B influencer relations. Its platform helps technology vendors and B2B companies manage, track, and measure their relationships with industry analysts who influence buyers in the market.

The product combines a specialized CRM with a searchable database of analysts and influencers, analytics and reporting dashboards (share of voice, sentiment, competitive intelligence), and an analyst-facing self-service portal.

About the Role

You will design Python-based models and services, integrate large language models (Anthropic’s Claude), and ship them alongside the client’s software engineering team.

The platform runs on Angular, C# (.NET), SQL Server and MongoDB. You will not be the primary developer on that stack, but you will work in it daily: pulling data from it, exposing your models to it through APIs, and pairing with engineers to get AI features into production.

You will report to the VP of Engineering. This is a full-time, fully remote position that requires at least 3-4 hours of daily overlap with US Eastern Time for standups and pairing.

What You’ll Do

Machine learning and data science

• Design, train, evaluate and deploy ML models for classification, clustering, recommendation, NLP and forecasting use cases.
• Explore, clean and engineer features from product data stored in SQL Server and MongoDB.
• Define metrics, run experiments and report results clearly to engineering and product stakeholders.
• Monitor models in production for drift, accuracy and cost, and retrain as needed.

AI and Claude integration

• Build LLM-powered features using the Claude API: prompt design, tool use, structured outputs and retrieval-augmented generation (RAG).
• Develop evaluation sets and automated tests to measure LLM output quality, accuracy and safety.
• Optimize LLM usage for latency and cost (prompt caching, model selection, batching).
• Use AI coding assistants such as Claude Code to speed up your own development work.

Working with the product engineering team

• Package models and AI logic as Python services and REST APIs that the C# (.NET) backend calls.
• Work with Angular developers to shape how AI features appear and behave in the UI.
• Write efficient SQL Server queries and MongoDB aggregations, and help design schemas for the data that ML features need.
• Take part in code reviews, sprint planning and standups, following the team’s Git, CI/CD and testing practices.
• Document models, data pipelines and APIs so other engineers can support them.

Required Qualifications

• 3–5 years of professional experience in data science, ML engineering or a similar role.
• Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics or a related field, or equivalent experience.
• Strong Python skills, including pandas, NumPy and scikit-learn.
• Hands-on experience with at least one deep learning framework (PyTorch or TensorFlow).
• Solid understanding of ML fundamentals: supervised and unsupervised learning, feature engineering, model evaluation and avoiding overfitting.
• Practical experience building with LLM APIs, ideally Anthropic Claude: prompt engineering, tool use, RAG and output evaluation.
• Experience building and consuming REST APIs in Python (FastAPI or Flask).
• Working knowledge of SQL (SQL Server preferred) and a NoSQL document database (MongoDB preferred).
• Comfortable with Git, code reviews and Agile/Scrum workflows.
• Clear written and spoken English (Upper-Intermediate or higher) for daily collaboration with a distributed team.
• Proactive written communication: status updates, clear questions and documented decisions.
• Ownership of features from prototype to production, not just notebooks.
• Curiosity about new AI capabilities and the judgment to know when a simpler approach is better.

Nice to Have

• Experience with vector databases or embedding search (e.g., MongoDB Atlas Vector Search, pgvector, Pinecone).
• Familiarity with agent frameworks, the Model Context Protocol (MCP) or the Claude Agent SDK.
• Reading-level familiarity with C# / .NET and Angular / TypeScript, enough to trace how your services are called.
• MLOps experience: Docker, CI/CD pipelines, model versioning (MLflow or similar) and cloud deployment (Azure or AWS).
• Prior work on a multi-tenant B2B SaaS product.
• NLP work on unstructured business text such as documents, emails or research content.
• Understanding of data privacy and security practices for customer data used in AI features.

Recruitment Process

1. Pre-screen call with a Recruitment Manager.
2. Technical interview with DOIT Software.
3. Online call with the client.

About Us
We are a performance-driven team working on the traffic side of iGaming. We drive quality traffic to casino and betting products and build long-term partnerships with products and affiliate networks. We are growing and looking for a teammate to strengthen our partnership direction.
 

Who We’re Looking For
We’re looking for a proactive Business Development / Partnership Manager with iGaming experience from the traffic side. You will find new partners, negotiate deal terms, and keep our partner accounts running smoothly.

Please note: this is not an Affiliate Manager role on the casino side. We work from the traffic side, offering our traffic to products and networks.

About You
You understand how traffic deals work in iGaming and know how to turn a conversation into an agreed partnership. You are structured, comfortable in negotiations, and careful with numbers, reconciliations, and payouts.

What Awaits You

• Direct impact on traffic volume and revenue
• A team that understands the iGaming traffic side
• Clear tasks and transparent processes
• Opportunity to grow into BD Manager / Head of Partnerships

Requirements

• Business development experience in iGaming from the traffic side: arbitrage team, webmaster, or agency
• Own base of contacts among products and affiliate networks
• Understanding of deal models and terms: CPA, RevShare, Hybrid, baseline, caps, hold
• English B2

Nice to Have

• Experience with affiliate tracking platforms and partner dashboards
• Understanding of key iGaming GEOs and traffic sources

Responsibilities

• Reach out to products and affiliate networks and offer our traffic
• Negotiate terms (CPA / RevShare / Hybrid, baseline, caps, hold) and pass the agreed details to the internal team
• Manage partner dashboards: statistics, reconciliations, and payouts

Language Requirements
English: B2 – Upper-Intermediate

About Us

We are an established AI Calls & Messenging platform. We help B2C platforms convert and reactivate users with AI outreach.

Our product is already used by 20+ brands across 10+ GEOs, and we are scaling our sales engine aggressively.

Who We’re Looking For

We’re looking for ambitious and results-driven SDR experienced in ABM approach, capable of reaching out prospects through LinkedIn, Telegram, Email and other channels, who will own the the funnel: outbound outreach, lead qualification, and booking high-quality meetings.

About You

You are proactive, structured, and comfortable with targeted outbound. You understand that SDR is not about “sending messages”, but about creating qualified sales opportunities. You understand the hypothesis approach and prospects’ enrichment.

What Awaits You

• Product that sells itself and is demanded by the market
• High-intensity, performance-oriented team
• Clear KPIs and transparent bonus logic
• Opportunity to grow into Senior SDR / AE / Sales Lead
• Direct impact on revenue and strategy

Requirements

• 1–3+ years in SDR / BDR / outbound sales (B2B).
• Strong written and spoken English.
• Successful experience with LinkedIn, Email and Telegram outreach for B2B sales.
• Hands-on setup experience with emails, telegram, research instruments (e.g. Apollo, Clay).
• Experience with practical use of AI-driven tools for outreach.
• High level of self-organization

Nice to Have

• Experience in iGaming / Performance marketing.
• Experience with CRM tools (HubSpot, Pipedrive, Salesforce).
• Cold calling experience.

Responsibilities

• Research buying signals and launch trigger-based outreach
• Research and test new channels and approaches
• Crafting, launching and managing campaigns
• Sourcing and qualifying ICP leads by GEO, company size, use case
• Schedule appointments with decision makers.

Project overview:

Group107 is building a dedicated AI Unit to drive automation across the company and deliver AI-powered solutions for client projects.

We are hiring Junior AI Developers who think fast, learn faster, and are already productive with modern AI-assisted development workflows.

You will work directly under the Tech Director and grow into autonomous AI engineers capable of owning full delivery pipelines.

Requirements:

• 1+ year of hands-on software development experience (commercial or substantial personal projects)
• Demonstrable proficiency with AI coding tools: Claude Code, Cursor, GitHub Copilot, or equivalent
• Working knowledge of at least one: TypeScript/JavaScript or Python
• Experience deploying web applications (Vercel, Netlify, or similar)
• Understanding of LLM fundamentals: prompting, context windows, token management, tool use
• Ability to read, debug, and refactor AI-generated code critically — not just accept output blindly
• Git proficiency and basic CI/CD awareness
• Strong English communication (both written and spoken)
   

Nice to have:

• Experience with v0, Bolt, Lovable, Replit Agent, or similar AI app builders
• Familiarity with MCP (Model Context Protocol) and agentic AI patterns
• Contributions to open-source AI tools or published AI-related content
• Experience with RAG pipelines, vector databases, or embeddings
• Backend experience with Node.js, Next.js, or FastAPI
• Understanding of DevOps basics: Docker, serverless functions, edge computing
   

Responsibilities:

• Build internal automation tools and workflows using AI coding assistants (Claude Code, Cursor, Copilot)
• Develop and ship AI-powered features and full applications for client projects
• Prototype rapidly using vibe-coding methodology — prompt-driven development with AI pair-programming
• Integrate LLM APIs (Anthropic, OpenAI, open-source models) into production systems
• Deploy and maintain applications on modern platforms (Vercel, Cloudflare, AWS)
• Create and manage AI agents, MCP servers, and tool-use pipelines
• Evaluate, benchmark, and select AI models and tools for specific use cases
• Document solutions, write technical specs, and contribute to the internal knowledge base
  
  We offer:
• 20 vacation days (workdays)
• 7 sick days
• Personalized career growth
• Education reimbursement
• Corporate events and team buildings
• Equipment provided

Creatio is an AI CRM and workflow platform where people and AI agents work together - with no limits on users, agents, or scale. We help midsize and large organizations run customer workflows in the AI era. With a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100 countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA.

We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports.

In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture.

Who We’re Looking For

We are looking for an AI Software Engineer to design, build, evaluate, and operate AI-powered capabilities within the Creatio platform.

You will join the AI teams building the agent platform that enables AI agents to safely perform real work in the product: call tools and APIs, read and write data, maintain context, follow permissions, and escalate to humans when needed.

The team also owns the core infrastructure for testing, monitoring, logging, observability, and cost/performance control, ensuring AI agents are reliable, scalable, secure, and production-ready.

This role combines strong software engineering expertise with hands-on AI engineering experience. You will work on enterprise-grade AI solutions, including assistants, copilots, knowledge systems, semantic search, RAG-based capabilities, and agentic workflows.

Responsibilities:

• Design and implement AI-powered product features within the Creatio platform.
• Build assistants, copilots, agentic workflows, knowledge systems, RAG, and semantic search capabilities.
• Integrate LLM providers, tools, enterprise data sources, and MCP-based solutions.
• Develop and maintain backend services using C# and .NET.
• Build evaluation frameworks, quality gates, and observability practices for AI solutions.
• Monitor and improve the quality, latency, cost, reliability, and security of AI capabilities.
• Apply AI coding assistants and engineering agents as part of the daily development workflow.

Requirements:

• Strong experience with C# and .NET.
• Hands-on experience with LLMs, prompt engineering, function calling, and structured outputs.
• Understanding of agent architectures, MCP, RAG, embeddings, vector search, and semantic search.
• Experience with AI evaluation, observability, security, and Responsible AI practices.
• Solid understanding of API design, distributed systems, and software architecture.
• Experience with SQL databases, testing, CI/CD, and cloud-native development.
• DevOps fundamentals, including Docker containerization and basic Kubernetes knowledge.
• Strong knowledge of engineering best practices and production-grade software development.

What to expect from us:

• Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.
• Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.
• Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.
• Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.
• Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.

We are looking for an AI Prompt Engineer / AI Integration Engineer with hands-on experience using modern LLM tools such as ChatGPT, Claude, and similar platforms.

The role will focus on applying AI capabilities to engineering web applications, specifically drilling and completion software.

• Responsibilities:

  Identify practical AI use cases for drilling and completion software.
  Design, test, and improve prompts using ChatGPT, Claude, and similar tools.
  Support integration of AI features into engineering web applications.
  Work with product, engineering, and domain teams to validate AI outputs.
  Help define best practices for AI-assisted workflows and responsible AI usage.

• Mandatory Skills Description:

  Practical experience with modern LLM and GenAI tools/platforms, such as ChatGPT, Claude, Azure OpenAI Service, Azure AI Foundry, or similar.
  Strong prompt engineering skills.
  Hands-on experience with LangSmith, LangChain, DeepAgent, or similar frameworks
  Experience with Kafka, Kubernates, Postgres and Bedrock
  Backend: Python
  Experience applying AI tools to real business, engineering, or software development use cases.
  Understanding of how AI/LLM capabilities can be integrated into web applications.
  Ability to design AI-assisted workflows, prompts, and response validation approaches.
  Good understanding of web application concepts.
  Strong communication skills.

• Nice-to-Have Skills Description:

  Experience with drilling, completion, oil & gas, or other engineering software.
  Experience with AI assistants, copilots, workflow automation, or decision-support tools.
  Familiarity with JavaScript/TypeScript, Node.js, Angular, React, or similar technologies.
  Experience with GitHub Copilot, Cursor, or other AI-assisted development tools.
  Experience working with technical documentation, engineering data, or domain-specific knowledge bases.

Location: New York, NY or San Francisco, CA (Hybrid / On-site)

Employment Type: W-2 Contract or Full-Time (Must be authorized to work on W-2 in the US without sponsorship)

Experience: 3+ Years

Job Summary

We are seeking a Cloud FinOps Engineer to drive cloud cost optimization and financial accountability across massive multi-cloud infrastructure environments. You will partner with finance and engineering to balance performance with cost efficiency.

Key Responsibilities

• Analyze cloud usage patterns and identify cost reduction opportunities across AWS, Azure, and GCP.
• Implement automated tagging, budgeting alerts, and resource right-sizing policies.
• Establish KPIs and reporting dashboards to track unit economics and cloud spend efficiency.
• Guide engineering teams on cost-conscious architecture design without sacrificing system reliability.

Requirements

• Minimum 3 years of experience in Cloud FinOps, DevOps, or cloud financial management.
• Deep knowledge of AWS Cost Explorer, Azure Cost Management, Kubernetes resource quotas, and Datadog.
• Strong analytical skills with the ability to communicate financial data clearly to technical stakeholders.
• Valid W-2 work authorization in the United States (no C2C or cross-border arrangements).
  
  Sound like a fit?
  Apply now and our recruiting team will get back to you.

Location: New York, NY or San Francisco, CA (Hybrid / On-site)

Employment Type: W-2 Contract or Full-Time (Must be authorized to work on W-2 in the US without sponsorship)

Experience: 3+ Years

Job Summary

Our client is looking for an LLMOps / MLOps Specialist to automate and govern the lifecycle of enterprise generative AI applications. You will bridge the gap between machine learning research and reliable production deployment.

Key Responsibilities

• Build and maintain end-to-end CI/CD pipelines for machine learning and LLM applications.
• Implement robust model evaluation, monitoring, and observability frameworks (MLflow, LangChain, Arize).
• Manage vector databases and retrieval-augmented generation (RAG) pipelines at scale.
• Ensure data privacy, model safety, and compliance standards are enforced across all deployments.

Requirements

• Minimum 3 years of experience in MLOps, ML engineering, or backend systems focused on AI workflows.
• Hands-on experience with vector databases (Pinecone, Milvus, Qdrant) and orchestration frameworks (LangChain, LlamaIndex).
• Solid software engineering background in Python and containerized environments.
• Valid W-2 work authorization in the United States (no C2C or cross-border arrangements).
  
  Sound like a fit?
  Apply now and our recruiting team will get back to you.

Location: New York, NY or San Francisco, CA (Hybrid / On-site)

Employment Type: W-2 Contract or Full-Time (Must be authorized to work on W-2 in the US without sponsorship)

Experience: 3+ Years

Job Summary

We are seeking an AI / ML Infrastructure Engineer to join our client's high-performance engineering team. You will design, scale, and optimize the underlying infrastructure powering large-scale generative AI and machine learning models in production.

Key Responsibilities

• Architect and scale high-performance GPU clusters (NVIDIA hardware) for model training and low-latency inference.
• Optimize model serving pipelines using Triton Inference Server, vLLM, and TensorRT.
• Collaborate with data scientists and MLOps engineers to streamline distributed training workflows.
• Monitor, troubleshoot, and optimize cloud infrastructure costs and performance bottlenecks.

Requirements

• Minimum 3 years of hands-on experience in ML infrastructure, systems engineering, or DevOps roles.
• Strong proficiency in PyTorch, CUDA ecosystem, and container orchestration (Kubernetes, Docker).
• Deep experience with cloud providers (AWS, GCP) and Infrastructure as Code (Terraform).
• Valid W-2 work authorization in the United States (no C2C or cross-border arrangements).
  
  Sound like a fit?
  Apply now and our recruiting team will get back to you.

Location: New York, NY or San Francisco, CA (Hybrid / On-site)

Employment Type: W-2 Contract or Full-Time (Must be authorized to work on W-2 in the US without sponsorship)

Experience: 3+ Years

Job Summary

We are hiring a Senior Cloud Security Architect to design and enforce robust zero-trust security frameworks for enterprise cloud environments. You will secure multi-cloud architectures, container workloads, and AI infrastructure pipelines.

Key Responsibilities

• Design and implement zero-trust network architectures, identity and access management (IAM) policies, and encryption standards.
• Conduct threat modeling, security code reviews, and vulnerability assessments for cloud deployments.
• Ensure compliance with industry standards and federal frameworks (SOC 2, ISO 27001, FedRAMP).
• Partner with engineering teams to embed security best practices early in the development lifecycle (DevSecOps).

Requirements

• Minimum 3 years of experience in cloud security architecture, DevSecOps, or information security.
• Strong expertise in AWS/GCP security tools, Kubernetes security, and network segmentation.
• Relevant security certifications (CISSP, CCSP, or AWS Certified Security) are a strong plus.
• Valid W-2 work authorization in the United States (no C2C or cross-border arrangements).
  
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ROLE OVERVIEW

We are looking for a Senior AI Software Engineer – Full Stack to design, build, and operate modern web applications and AI-powered solutions for the healthcare domain.

In this role, you will work across Front-end, Back-end, and DevOps, building AI-native features and agentic experiences using LLMs, retrieval, tool use, and structured workflows. You will also contribute to cloud-native services and help drive the adoption of modern AI engineering practices within the team.

CUSTOMER AND PROJECT

Our Customer is a leading provider of software solutions for the healthcare sector, operating across 19 countries with more than 9,000 employees.

The project focuses on developing and operating modern SaaS applications used in the healthcare domain. You will work on integrating AI-powered capabilities into products for clinicians and patients, while also contributing to cloud-native architecture, reliability, security, and developer productivity.

The role combines Java Full-Stack development, AI engineering, cloud-native technologies, and DevOps, with a strong focus on building practical AI features and agentic experiences that deliver real value to healthcare users.

TECHNOLOGY STACK

• Java, Spring Boot
• React, Angular
• Kafka, Terraform
• Kubernetes, Helm, ArgoCD
• Azure OpenAI, Anthropic SDK, MCP
• LLMs, AI agents, skills, workflows, AI pipelines and context engineering

RESPONSIBILITIES

• Design, develop, and operate modern web applications across Front-end and Back-end
• Develop scalable backend services using Java and Spring Boot
• Build AI-native features and agentic experiences using LLMs, retrieval, tool use, and structured workflows
• Develop AI agents, skills, and intelligent workflows that deliver practical value to healthcare users
• Design, evolve, and operate cloud-native services with a strong focus on reliability, security, and scalability
• Work with modern AI development tools and contribute to shared AI agents, skills, pipelines, and engineering workflows
• Collaborate closely with Product Management, UX, Architects, and other Engineering teams
• Contribute to engineering excellence and the adoption of modern AI engineering practices within the team

• Stay close to users and understand healthcare workflows to deliver outcome-driven solutions

   

REQUIREMENTS

• Several years of Senior-level Full-Stack development experience
• Strong commercial experience with Java and Spring Boot
• Solid Front-end expertise with React or Angular
• Experience with Kafka and Terraform
• Experience with cloud-native architectures and DevOps practices
• Hands-on experience with Kubernetes, Helm, and ArgoCD
• At least 1 year of hands-on commercial experience developing and integrating AI-powered features into software products
• Practical experience building AI agents, intelligent workflows, or automation solutions
• Experience with modern LLM ecosystems and AI platforms, such as Azure OpenAI, Anthropic SDK, or MCP
• Demonstrated practical use of AI tools in software engineering
• Experience with AI agents, skills, workflows, AI pipelines, or context engineering is a strong plus
• Degree in Computer Science, Software Engineering, or a comparable technical field
• Strong problem-solving, innovation, and proactive mindset

• Strong English communication skills

   

LANGUAGE REQUIREMENTS

English: B2 – Upper-Intermediate or above