Cloud infrastructure experience: GCP (Vertex AI preferred) or AWS (SageMaker)
API/service development experience (e.g., FastAPI/REST/async programming)CI/CD and DevOps: Docker, Terraform, GitHub Actions
Monitoring and observability
Problem-solving mindset
Operating experience with AI deployment in enterprise environment
Proactiveness and versatility: The role requires being comfortable with defining and scoping tasks independently as well taking the initiative and finding ways to improve
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
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.
Work model & location expectations:Hybrid from Boston office, 3x/week
