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 under the guidance of senior team members, while gaining increasing independence.

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

• Produce code for AI applications, backend services, and data pipelines.

• Incorporate AI elements into backend services and RESTful APIs.

• Aid in the deployment of containerized applications to AWS utilizing CI/CD practices.

• Assist in the creation of documentation, runbooks, and materials for client handovers.

• Engage in technical discussions and contribute to architectural decisions.

• Support the evaluation of models and analyze failure modes for improvements.

• Gradually take on greater responsibility for components and technical choices.

⛳️ Requirements

• Self-motivated and proactive; seek clarity rather than waiting for assignments.

• Strong communication and problem-solving abilities.

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

• Proficient in English at a B2+ level, with the ability to collaborate with diverse, distributed teams.

• Hands-on experience in building or contributing to RAG systems, preferably in a production or near-production environment.

• Proficient in Python and/or TypeScript.

• Practical knowledge of AWS services, such as Lambda, S3, or ECS.

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

• Exposure to evaluating non-deterministic systems and conducting test/evaluation cycles.

• Basic understanding of model/agent monitoring principles.

• Awareness of cost and latency considerations when working with LLMs.

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

• At least 2 years of experience in software or ML engineering, with exposure to production systems.

• Strong foundational knowledge in AI/ML and an understanding of common model failure modes.

🏝️ Benefits

• Remote-friendly work culture.

• Opportunities for internal training with full support for certifications in Claude, AWS, and other professional areas.

• Attendance at conferences.

• Career advancement and active development for engineers.

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

• Long-term B2B collaboration opportunities.

• Private medical insurance or a budget for healthcare needs.

• Paid sick leave, vacation days, and public holidays.

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