Junior AI/ML Engineer (GenAI, AWS)

Location: Remote from Ukraine, Spain, Serbia, Yerevan, or Poland.

Company

AWS Premier Partner and Anthropic Strategic Partner delivering bespoke AI applications, managed services, and advisory engagements for enterprise clients, with a focus on financial services, insurance, healthcare, and life sciences.

What you will do

• Build and contribute to RAG system components under senior guidance, increasing autonomy over time.
• Write production code across AI, backend services, and data pipelines, including AI integration with backend services and RESTful APIs.
• Write tests, develop evaluation harnesses, and support model evaluation and failure-mode investigation.
• Support containerized AWS deployments and CI/CD workflows.
• Contribute to documentation, runbooks, client handover materials, technical discussions, and architectural decisions.
• Take increasing ownership of components and technical decisions.

Requirements

• Proactive, self-directed mindset with strong communication, problem-solving, and ambiguity-management skills.
• B2+ English and comfort collaborating across distributed, multicultural teams.
• Hands-on experience building or contributing to RAG systems, ideally in production or near-production environments.
• Solid engineering fundamentals with proficiency in Python and/or TypeScript, plus the ability to become productive in an unfamiliar codebase with support.
• Practical AWS experience with Lambda, S3, ECS, or similar services, and readiness to grow into Bedrock and Bedrock AgentCore.
• Experience with containers and CI/CD in real projects.
• Exposure to evaluating non-deterministic systems, model or agent monitoring concepts, and LLM cost and latency trade-offs.
• Practical experience with LLM APIs such as Anthropic, AWS Bedrock, or OpenAI.
• 2+ years of software or ML engineering experience, including exposure to production systems.
• Solid AI/ML foundations and the ability to reason about common model failure modes.

Nice to have

• Experience in financial services, insurance, healthcare, consulting, professional services, or embedded customer-facing delivery.
• AWS or Claude Code certifications, or active pursuit of them.
• Interest in agent-to-agent interoperability, NLP, LLMs, or recommendation engines.
• CI/CD pipeline experience with GitHub Actions or GitLab CI.
• Experience with Go, TypeScript, Rust, Apache Spark, Apache Airflow, or Kafka.
• Experience with the Claude ecosystem, including Claude Code, CLAUDE.md, hooks, skills files, and spec-driven development.
• MCP experience, including understanding when to prefer it over REST integration; authoring an MCP server is an additional plus.

Culture & Benefits

• Remote-friendly work in small, senior, forward-deployed teams.
• Long-term B2B collaboration.
• Internal training and support for Claude, AWS, and other professional certifications, plus conference attendance.
• Career development, access to current AI tools and premium subscriptions.
• Private medical insurance or a medical budget, paid sick leave, vacation, and public holidays.
• Equipment and technology required for productive work.

Hiring process

• Introductory conversation covering the role, background, aspirations, and technical questions.
• Technical interview with live engineering sessions using the candidate’s own editor; an LLM assistant may be used.
• HR interview followed by a hiring-manager interview with technical questions and potentially another live engineering session.