ppJoin to apply for the bAI Platform Engineer / AI Infrastructure Engineer /b role at bAxiomatic_AI /b /p h3About us /h3 pAxiomatic_AI is dedicated to accelerating RD 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. /p h3Position Overview /h3 pAs 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. /p h3Key Responsibilities /h3 ul liBuild and maintain AI infrastructure: model serving, vector databases, embedding pipelines. /li liEnable AI developers to deploy reproducibly and safely. /li liDesign APIs for AI inference, prompt management, and evaluation. /li liImplement MLOps pipelines: versioning, monitoring, logging, experimentation tracking. /li liOptimize performance: latency, cost, throughput, and reliability. /li liCollaborate with backend engineers to integrate AI capabilities. /li liMonitor model performance, drift, and set up logging and observability. /li liBuild CI/CD pipelines for model deployment. /li liDocument AI infrastructure and best practices. /li liMentor AI developers on software practices. /li /ul h3Required Skills Experience /h3 ul li7+ years of software engineering experience (Python preferred). /li liExperience with LLMs and AI/ML in production: OpenAI API, HuggingFace, LangChain, or similar. /li liKnowledge of vector databases: Pinecone, Chroma, Weaviate, FAISS. /li liCloud infrastructure experience:



GCP (Vertex AI preferred) or AWS (SageMaker). /li liAPI development: FastAPI, REST, async programming. /li liCI/CD and DevOps: Docker, Terraform, GitHub Actions. /li liMonitoring and observability. /li liProblem‑solving mindset; comfortable debugging complex distributed systems. /li liExperience deploying AI at enterprise level. /li /ul h3Nice-to-Have /h3 ul liFine‑tuning or training models. /li liFamiliarity with LangChain, Pydantic AI, or similar frameworks. /li liPrompt engineering and evaluation techniques. /li liReal‑time inference and streaming responses. /li liBackground in data engineering or ML engineering. /li liKnowledge of RAG architectures. /li liContributions to open‑source AI/ML projects. /li /ul h3Tech Stack /h3 ul liLanguages: Python, Bash. /li liAI/ML: OpenAI API, Anthropic, HuggingFace, LangChain, Pydantic AI. /li liVector DBs: Pinecone, Chroma, Weaviate, FAISS. /li liBackend: FastAPI, SQLAlchemy, Pydantic. /li liCloud: GCP (Vertex AI, Cloud Run), Terraform. /li liCI/CD: GitHub Actions. /li liExperiment Tracking: MLflow, Weights Biases, or custom. /li liContainers: Docker; Kubernetes optional. /li /ul h3What We Offer /h3 ul liCompetitive compensation, including Stock Options. /li liAccess to state‑of‑the‑art tools and collaboration with leading experts. /li liFlexible work arrangements with potential remote options. /li liOpportunities for professional growth: conferences, conferences, publications. /li liA culture focused on impact in AI and hardware. /li /ul h3Why Join Us /h3 pAt 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. /p /p #J-18808-Ljbffr

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