Join to apply for theAI Platform Engineer / AI Infrastructure Engineerrole atAxiomatic_AIAbout usAxiomatic_AI is dedicated to accelerating R&D; by developing the next generation of Automated Interpretable Reasoning, a verifiably truthful AI model built for reasoning in science and engineering. We empower engineers in hardware design and Electronic Design Automation (EDA), with a mission to revolutionize the fields of hardware design and simulation in the photonics and semiconductor industry.Position OverviewAs an AI Platform Engineer, you will bridge AI research and production software, building and maintaining AI infrastructure, enabling developers to deploy work safely, and designing APIs for AI inference, prompt management, and evaluation. You will also implement MLOps pipelines, optimize performance, and collaborate closely with backend engineers.Key ResponsibilitiesBuild and maintain AI infrastructure: model serving, vector databases, embedding pipelines.Enable AI developers to deploy reproducibly and safely.Design APIs for AI inference, prompt management, and evaluation.Implement MLOps pipelines: versioning, monitoring, logging, experimentation tracking.Optimize performance: latency, cost, throughput, and llaborate with backend engineers to integrate AI capabilities.Monitor model performance, drift, and set up logging and observability.Build CI/CD pipelines for model deployment.Document AI infrastructure and best ntor AI developers on software practices.Required Skills & Experience7+ years of software engineering experience (Python preferred).Experience with LLMs and AI/ML in production: Open AI API, Hugging Face, Lang Chain, or similar.Knowledge of vector databases: Pinecone, Chroma, Weaviate, FAISS.Cloud infrastructure experience:



GCP (Vertex AI preferred) or AWS (Sage Maker).API development: Fast API, REST, async programming.CI/CD and Dev Ops: Docker, Terraform, Git Hub Actions.Monitoring and observability.Problem‑solving mindset;

comfortable debugging complex distributed systems.Experience deploying AI at enterprise level.Nice-to-HaveFine‑tuning or training models.Familiarity with Lang Chain, Pydantic AI, or similar frameworks.Prompt engineering and evaluation techniques.Real‑time inference and streaming responses.Background in data engineering or ML engineering.Knowledge of RAG ntributions to open‑source AI/ML projects.Tech StackLanguages: Python, Bash.AI/ML: Open AI API, Anthropic, Hugging Face, Lang Chain, Pydantic AI.Vector DBs: Pinecone, Chroma, Weaviate, FAISS.Backend: Fast API, SQLAlchemy, Pydantic.Cloud: GCP (Vertex AI, Cloud Run), Terraform.CI/CD: Git Hub Actions.Experiment Tracking: MLflow, Weights & Biases, or ntainers: Docker;

Kubernetes optional.What We OfferCompetitive compensation, including Stock Options.Access to state‑of‑the‑art tools and collaboration with leading experts.Adaptable work arrangements with potential remote options.Opportunities for professional growth: conferences, conferences, publications.A culture focused on impact in AI and hardware.Why Join UsAt Axiomatic_AI we drive innovation in AI for scientific and engineering applications. Your contributions will help bring new AI architectures that reason coherently and produce verifiable solutions to market, shaping the future of hardware and computing. We celebrate diversity and encourage applicants who may not meet every qualification to apply;

we are eager to consider a wide range of experiences and backgrounds.

📌 Ai Platform Engineer / Ai Infrastructure Engineer (Barcelona)
🏢 Axiomatic-AI
📍 Barcelona