Junior AI/ML Engineer (GenAI, AWS)

Responsibilities

• Build and contribute to RAG system components under senior guidance, with growing autonomy.
• Write tests and help build out evaluation harnesses for the features you work on.
• Write production code across the stack (AI, backend services, data pipelines) with code review support.
• Help integrate AI components into backend services and RESTful APIs.
• Support deployment of systems to AWS (containerized, CI/CD), taking on more of this independently over time.
• Contribute to documentation, runbooks, and client handover materials.
• Participate in technical discussions and architectural decisions, with an eye toward taking on more of this independently.
• Support model evaluation efforts and help investigate and improve failure modes.
• Take on increasing ownership of components and technical decisions as you grow in the role.

Languages

• Russian

Required

• Hands-on experience building or contributing to RAG systems, ideally in a production or near-production setting.
• Solid engineering fundamentals; Python and/or TypeScript proficiency. Productive in an unfamiliar codebase with some ramp-up support.
• Practical AWS experience (Lambda, S3, ECS, or similar); ready to grow into Bedrock and Bedrock AgentCore .
• Some experience with containers and CI/CD in real projects.
• 2+ years of software or ML engineering experience, including some exposure to production systems.

Nice to have

• Excellent communication and problem-solving skills.
• B2+ English, comfortable collaborating across distributed, multicultural teams.
• Consulting, professional services, or other embedded customer-facing delivery.
• Experience in an additional language (Go, TypeScript, or Rust).
• Experience with Apache Spark, Apache Airflow, Kafkа.
• MCP: you can say why an agent would prefer it to a REST integration, having authored a server is an additional plus.

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