*We are only accepting candidates that currently live near or in the San Francisco Bay Area*

About the Role:

We’re hiring an AI/ML Engineer to join a fast-growing startup building applied AI systems at scale. You’ll work alongside a small team of world-class engineers, researchers, and product designers to turn cutting-edge models into real-world products.

What You'll Do:

Research, design, and deploy ML models (NLP, CV, or tabular, depending on vertical)
Fine-tune LLMs and integrate with retrieval-augmented generation (RAG) stacks
Own model training pipelines (TensorFlow, PyTorch) and infrastructure (AWS/GCP)
Collaborate with product and backend teams to ship ML-powered features
Continuously monitor, evaluate, and optimise model performance in production
Contribute to internal tools, libraries, and scalable data processing pipelines

Ideal Candidate:

2–5 years experience in ML/AI engineering, preferably in a startup or high-growth environment
Strong Python skills; deep experience with PyTorch or TensorFlow
Experience with model deployment, MLOps, and scaling production models
Hands-on with LLMs, RAG, embeddings, or vector DBs (Pinecone, Weaviate, etc.)
Comfort working with incomplete data and ambiguous product requirements
Bonus: Background in data engineering, DevOps, or applied research

Tech Stack Includes:

Python, PyTorch, FastAPI

Perks & Benefits:

Generous equity package
Health, dental, and vision fully covered
Annual learning stipend and access to top AI conferences
Office in downtown SF, 2–3 office days expected (flexible)

Surecall Tech

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AI/ML Engineer