Responsibilities
- Design and maintain modular, multi-step AI workflows for compliance automation.
- Integrate multiple LLM providers (e.g., OpenAI, Anthropic, Perplexity) into a cohesive orchestration pipeline.
- Build cost-optimized batch processing and intelligent API request strategies.
- Translate complex regulations into structured, machine-executable logic.
- Develop and validate automatically generated code to ensure correctness, safety, and performance.
- Collaborate with domain experts to refine logic interpretation and edge case handling.
- Maintain high-quality, well-structured Python codebases with clear separation of concerns.
- 5+ years of professional software engineering experience.
- Strong Python skills, including experience writing production-grade, modular code.
- Proven track record building multi-step LLM workflows (LangChain, LangGraph, or similar).
- Experience in structured code generation and validation.
- Strong debugging skills and comfort working with complex, evolving systems.
Preferred qualifications
- Experience with compliance automation, technical regulations, or domain-specific rule translation.
- Familiarity with Pydantic models or other type-safe data management frameworks.
- Background in developer tooling or systems requiring high reliability and reproducibility.
- Experience optimizing LLM API usage for both cost and speed.
Benefits
- Full-time remote role aligned with EEST
- B2B set-up via SP account
- Flexible work arrangements and competitive compensation
- Freedom to architect solutions using the best tools for the job
- Collaboration with a multidisciplinary, innovation-driven team
- Opportunity to shape a new AI product from the ground up at an early stage
Tags & focus areas
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