Axiomatic_AI
AI/LLM Engineer
Axiomatic_AISpain1 day ago
Full-timeRemote FriendlyOther
About The Job

About us:

Axiomatic_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, empowering engineers specifically 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. We seek highly motivated professionals to help us bring these innovations to life, driving the evolution from development to commercial product.

Position Overview

As an AI Engineer, you are the bridge between AI research and production software. You will:

  • Build and maintain AI infrastructure: model serving, vector databases, embedding pipelines
  • Enable AI developers to deploy their work 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, reliability
  • Collaborate with backend engineers to integrate AI capabilities into the product

Key Responsibilities

  • AI Infrastructure
  • Deploy and serve LLMs (OpenAI, Anthropic, HuggingFace, fine-tuned models)
  • Optimize inference latency and costs
  • Implement caching, rate limiting, and retry strategies
  • MLOps & Pipelines
  • Version models, prompts, datasets, and evaluation results
  • Implement experiment tracking (Weights & Biases)
  • Build CI/CD pipelines for model deployment
  • Monitor model performance and drift
  • Set up logging and observability for AI services
  • API Development
  • Design and implement APIs (FastAPI)
  • Create endpoints for prompt testing, model selection, and evaluation
  • Integrate AI services with backend application
  • Ensure API reliability, security, and performance
  • Collaboration & Enablement
  • Work with AI Developers to productionize their experiments regarding improving user workflows
  • Define workflows: notebook/test repository → PR → staging → production
  • Document AI infrastructure and best practices
  • Review code and mentor AI developers on software practices

Required Skills & Experience

Must-Have

  • 7+ years of software engineering experience (Python preferred)
  • Experience with LLMs and AI/ML in production: OpenAI API, HuggingFace, LangChain, or similar
  • Understanding of vector databases (Pinecone, Chroma, Weaviate, FAISS)
  • Cloud infrastructure experience: GCP (Vertex AI preferred) or AWS (SageMaker)
  • API development: FastAPI, REST, async programming
  • CI/CD and DevOps: Docker, Terraform, GitHub Actions
  • Monitoring and observability
  • Problem-solving mindset: comfortable debugging complex distributed systems
  • Operating experience with AI deployment in enterprise environment

Nice-to-Have

  • Experience fine-tuning or training models
  • Familiarity with LangChain, Pydantic AI or similar frameworks
  • Knowledge of prompt engineering and evaluation techniques
  • Experience with real-time inference and streaming responses
  • Background in data engineering or ML engineering
  • Understanding of RAG architectures
  • Contributions to open-source AI/ML projects

Tech Stack

Current Stack

  • Languages: Python (primary), Bash
  • AI/ML: OpenAI API, Anthropic, HuggingFace, LangChain, Pydantic AI
  • Vector DBs: Pinecone, Chroma, Weaviate, or FAISS
  • Backend: FastAPI, SQLAlchemy, Pydantic
  • Cloud: GCP (Vertex AI, Cloud Run), Terraform
  • CI/CD: GitHub Actions
  • Experiment Tracking: MLflow, Weights & Biases, or custom
  • Containers: Docker, Kubernetes (optional)

What We Offer

Competitive compensation

  • Stock Options Plan: Empowering you to share in our success and growth.
  • Cutting-Edge Tools: Access to state-of-the-art tools and collaborative opportunities with leading experts in artificial intelligence, physics, hardware and electronic design automation.
  • Work-Life Balance: Flexible work arrangements in one of our offices with potential options for remote work.
  • Professional Growth: Opportunities to attend industry conferences, present research findings, and engage with the global AI research community.
  • Impact-Driven Culture: Join a passionate team focused on solving some of the most challenging problems at the intersection of AI and hardware.

Why join us?

At Axiomatic_AI, you will be working on technology that drives innovation in AI for scientific and engineering applications in line with our 10X30 mission. This is your opportunity to contribute to the development of new AI architectures that can reason coherently and produce interpretable and verifiable solutions. Consequently, see those ideas commercialized into products that will shape the future of hardware and computing, while collaborating with a global team of engineers and AI specialists. We believe in pushing the boundaries of what is possible and continuously seek to redefine the intersection of AI, with focus on formal consistency. If you're ready to take your expertise in artificial intelligence and physics to the next level, we want to hear from you!

Worried about not meeting every qualification? Studies show that women and people of color are less likely to apply for jobs unless they meet every listed requirement. At Axiomatic-AI, we are dedicated to creating a diverse, inclusive, and authentic workplace. If this role excites you but your background doesn't perfectly match every qualification, we still encourage you to apply. You could be the perfect fit for this position or another opportunity with us.

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