Applied AI Engineer
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AI Infrastructure
Agentic Frameworks
Tech Stack
About the Role
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.