Applied AI Engineer at Axiomatic AI

Applied AI Engineer

Axiomatic AI seeks an engineer to bridge R&D and product, converting research prototypes into production-ready AI systems. The role focuses on integrating LLM and agent-based technologies into real workflows with emphasis on reliability and maintainability.

Responsibilities

Own AI features through full delivery cycle (design, implementation, rollout, iteration)

Build LLM workflows including tool-calling agents and structured output pipelines

Contribute to prompt strategy and model evaluation

Write clean, typed Python with comprehensive testing

Implement logging, tracing, and metrics for AI features

Collaborate on deployment workflows and code reviews

Core Requirements

3+ years software engineering experience (Python preferred)

Familiarity with agent frameworks (LangChain, PydanticAI, or similar)

Prompt engineering and LLM evaluation techniques

Production experience with LLMs beyond prototypes

API/service development (FastAPI, REST, async Python)

Strong fundamentals in design patterns, testing, and code review

Basic observability skills and Git proficiency

Nice to Have

CI/CD expertise (Docker, GitHub Actions)

RAG architecture knowledge

Real-time inference and streaming experience

ML/data engineering background

Knowledge Graph concepts

Open-source contributions

What We Offer

Competitive compensation, stock options, cutting-edge tools, conference opportunities, and impact-driven culture.

Locations: Barcelona, Spain / Boston, US / Open to Remote.