AI Developer (LLM Evaluation)

Job description

IT Craft is looking for an experienced AI Developer with hands-on expertise in LLM evaluation and automated testing to join our team. In this role, you will take ownership of designing and implementing an evaluation framework for a deployed AI assistant running on AWS Bedrock, with infrastructure support from the internal DevOps team.

Key Responsibilities:

- Design and implement automated end-to-end and regression testing infrastructure for an LLM-based assistant;

- Build an evaluation harness that runs a structured set of prompt scenarios against the deployed service;

- Implement automated checks for response correctness, tool usage, and guardrail behavior;

- Generate clear pass/fail results based on agreed evaluation baselines;

- Collaborate with the internal DevOps team to integrate evaluation runs into CI/CD processes and identify quality and behavior regressions before and after deployments;

- Analyze evaluation results and continuously improve test coverage and reliability;

- Plan and organize the implementation independently, define follow-up tasks, and coordinate with internal specialists through regular synchronization meetings.

Required Skills:

- Hands-on experience with LLM evaluation tools such as Promptfoo, Langfuse, Arize, or comparable solutions;

- Practical experience designing or implementing automated evaluation and regression testing for LLM-based applications;

- Understanding of approaches used to evaluate non-deterministic LLM responses, tool calls, and guardrail behavior;

- Solid experience with AWS and CI/CD;

- Ability to design a solution from scratch and deliver it independently;

- Familiarity with Kotlin and Spring would be a plus;

- Strong written and spoken English (Upper-Intermediate+ / Advanced).

IT Craft offers:

- Competitive compensation according to the qualifications;

- Flexible working hours, remote work;

- Opportunity for career growth;

- Compensation for technical courses, educational resources, and sport;

- In-house English training;

- A friendly team of open-minded people.

Please send your CV.