Junior AI/ML Engineer, GenAI, AWS

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

📋 Description

• Develop and contribute to components of the RAG system with guidance from senior team members, gradually gaining more autonomy.

• Create tests and assist in building evaluation harnesses.

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

• Integrate AI components into backend services and RESTful APIs.

• Aid in deploying containerized systems to AWS utilizing CI/CD practices.

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

• Engage in technical discussions and participate in architectural decision-making processes.

• Assist in model evaluation, exploring and enhancing failure modes.

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

⛳️ Requirements

• Proactive and self-motivated; seeks clarity proactively instead of waiting for task assignments.

• Strong communication and problem-solving abilities.

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

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

• Practical experience in building or contributing to RAG systems, preferably in production or near-production environments.

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

• Capable of being productive in an unfamiliar codebase with some initial support.

• Hands-on experience with AWS (Lambda, S3, ECS, or similar services).

• Eager to develop skills in Bedrock and Bedrock AgentCore.

• Some familiarity with containers and CI/CD processes in practical projects.

• Exposure to the evaluation of non-deterministic systems and testing/evaluation cycles.

• Basic understanding of model and agent monitoring concepts.

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

• Practical experience working with LLM APIs (such as Anthropic, AWS Bedrock, or OpenAI) in real projects.

• At least 2 years of software or ML engineering experience, including some work with production systems.

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

🏝️ Benefits

• Remote-friendly work culture.

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

• Opportunities for conference attendance.

• Career advancement; commitment to engineer development.

• Access to the latest AI tools and premium subscriptions.

• Long-term B2B collaboration opportunities.

• Private medical insurance or a budget for medical expenses.

• Paid sick leave, vacation, and public holidays.

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