Applied AI Engineer (AI)

TL;DR

Applied AI Engineer (AI): Turning research prototypes into production-ready AI capabilities for scientific and engineering workflows with an accent on LLM- and agent-based systems integration. Focus on building reliable tool-calling agents, structured output pipelines, retrieval integrations, and ensuring production quality under constraints like latency, cost, and reliability.

Location: Barcelona, Spain / Boston, US / Open to Remote

Company

Building verifiable, interpretable AI systems combining deep learning, formal logic, and physics-based modeling to accelerate semiconductor and photonic hardware development.

What you will do

• Own applied AI features through full cycle: design, implementation, rollout, iteration.
• Build LLM workflows including tool-calling agents, structured outputs, retrieval/tool integrations, safe prompting.
• Contribute to prompt strategies, evaluations, and model usage with OpenAI, Anthropic, HuggingFace.
• Implement production engineering: clean Python code, tests, logging, tracing, metrics, reliability practices.
• Collaborate with researchers and engineers to productionize experiments via PRs, staging, code reviews.

Requirements

• 3+ years software engineering, Python preferred.
• Familiarity with agent frameworks (LangChain, PydanticAI).
• Knowledge of prompt engineering, LLM evaluations.
• Hands-on production experience with LLMs/AI tools (OpenAI API, HuggingFace, LangChain).
• Strong fundamentals: design patterns, testing, Git, API development (FastAPI, async).
• Observability: logging, tracing; problem-solving in production.
• Clear communication, collaborative approach.

Nice to have

• CI/CD: Docker, GitHub Actions.
• RAG architectures, real-time inference, streaming.
• ML/data engineering background.
• Knowledge Graphs.
• Open-source AI/ML contributions.

Culture & Benefits

• Competitive compensation and stock options.
• Access to cutting-edge tools, collaboration with AI/physics/hardware experts.
• Professional growth: conferences, research presentations, global AI community.
• Impact-driven culture focused on AI-hardware innovation and 30x30 mission.