Junior AI/ML Engineer, GenAI, AWS

This is a fully remote position, open to applicants in Armenia, +3 more countries.

📋 Description

• Develop and enhance components of the RAG system under the guidance of senior team members, gradually increasing your independence.

• Create tests and assist in building evaluation harnesses.

• Produce production-quality code across AI, backend services, and data pipelines, benefiting from code review support.

• Incorporate AI components into backend services and RESTful APIs.

• Aid in the deployment of systems to AWS, utilizing containers and CI/CD practices.

• Contribute to the creation of documentation, runbooks, and materials for client handover.

• Engage in technical discussions and contribute to architectural decisions.

• Assist in model evaluation initiatives and analyze and enhance failure modes.

• Gradually assume greater responsibility for components and technical decisions.

⛳️ Requirements

• Self-motivated and proactive; you seek clarity instead of waiting for tasks to be assigned.

• Strong communication and problem-solving abilities.

• Comfortable navigating some uncertainty, while receiving support from senior team members as you take on more responsibilities.

• Proficient in English at a B2+ level, able to collaborate effectively with distributed, multicultural teams.

• Practical experience in building or contributing to RAG systems, ideally in a production or near-production environment.

• Strong engineering fundamentals; proficiency in Python and/or TypeScript.

• Capable of being productive in an unfamiliar codebase with some onboarding assistance.

• Practical experience with AWS (Lambda, S3, ECS, or similar services).

• Willing to develop skills in Bedrock and Bedrock AgentCore.

• Experience with containers and CI/CD processes in real-world projects.

• Familiarity with evaluating non-deterministic systems and involvement in test/evaluation cycles.

• Basic understanding of model/agent monitoring concepts.

• Awareness of cost and latency trade-offs associated with LLMs.

• Practical experience with LLM APIs (like Anthropic, AWS Bedrock, or OpenAI) in real-world applications.

• A minimum of 2 years of experience in software or ML engineering, with some exposure to production systems.

• Solid foundations in AI/ML and an understanding of common model failure modes.

• Nice to have: experience in financial services, insurance, or healthcare.

• Nice to have: background in consulting, professional services, or customer-facing delivery.

• Nice to have: AWS and Claude Code certifications, or actively pursuing them.

• Nice to have: A2A interest.

• Nice to have: Experience with CI/CD pipelines using GitHub Actions or GitLab CI.

• Nice to have: Experience in NLP, LLM, or recommendation engines.

• Nice to have: Familiarity with Go, TypeScript, or Rust.

• Nice to have: Experience with Apache Spark, Apache Airflow, or Kafka.

• Nice to have: Experience in the Claude ecosystem, spec-driven development, or MCP.

🏝️ Benefits

• A culture that supports remote work.

• Internal training programs with comprehensive support for Claude, AWS, and other professional certifications.

• Opportunities to attend conferences.

• Career advancement; we are committed to developing our engineers.

• Access to cutting-edge AI tools and premium subscriptions.

• Long-term B2B collaboration.

• Private medical insurance or a budget for your healthcare needs.

• Paid sick leave, vacation, and public holidays.

• Provision of equipment and all necessary technology for a comfortable and productive work environment.