Junior AI/ML Engineer, GenAI, AWS

This is a fully remote position, open to applicants in Ukraine, +4 more countries.

📋 Description

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

• Create tests and assist in the development of evaluation harnesses.

• Produce production code for AI, backend services, and data pipelines with support for code reviews.

• Integrate AI components into backend services and RESTful APIs.

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

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

• Engage in technical discussions and contribute to architectural decisions.

• Assist in model evaluation initiatives and explore ways to enhance failure modes.

• Gradually assume greater responsibility for components and technical decisions.

• Collaborate within a senior pod alongside an FDE, an FDX, and Senior AI Engineers.

• Play a key role in delivering client solutions for enterprise AI applications, managed services, and advisory projects.

⛳️ Requirements

• Self-motivated and proactive; seek clarity instead of passively awaiting tasks.

• Strong communication and problem-solving abilities.

• Comfortable navigating some ambiguity, with guidance from senior colleagues.

• Proficient in B2+ English, capable of collaborating with distributed and multicultural teams.

• Hands-on experience in developing or contributing to RAG systems, preferably in production or near-production settings.

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

• Able to be productive in a new codebase with some initial support.

• Practical experience with AWS services such as Lambda, S3, ECS, or equivalent.

• Eager to advance knowledge in Bedrock and Bedrock AgentCore.

• Some familiarity with containers and CI/CD in real-world projects.

• Exposure to evaluating non-deterministic systems and their testing/evaluation processes.

• Basic understanding of model and agent monitoring concepts.

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

• Practical experience with LLM APIs, including those from Anthropic, AWS Bedrock, or OpenAI.

• Minimum of 2 years of software or ML engineering experience, including involvement with production systems.

• Strong foundations in AI/ML and comprehension of common model failure modes.

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

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

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

• Nice to have: knowledge of A2A interoperability concepts.

• Nice to have: experience with CI/CD pipelines, such as GitHub Actions or GitLab CI.

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

• Nice to have: proficiency in Go, TypeScript, or Rust.

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

• Nice to have: familiarity with the Claude Code ecosystem, specification-driven development, or MCP experience.

🏝️ Benefits

• Culture that supports remote work.

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

• Opportunities to attend conferences.

• Career advancement and proactive development for engineers.

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

• Long-term business-to-business collaboration.

• Private medical insurance or a budget for medical expenses.

• Paid sick leave, vacation, and public holidays.

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