AI/LLM Engineer
About The Position
We're looking for two AI/LLM Software Engineers to lead the development of AI-enabled workflows across our platform. You'll be responsible for expanding our copilot for computational biology to improve its reliability and capabilities. You’ll develop complex and scalable workflows for planning and executing pipelines, data analysis, and simulation for biotech and large pharma researchers. You’ll work closely with the founders and researchers to tailor your solution to customer needs. You should thrive in a fast-paced startup environment where you'll wear multiple hats, learn new technologies quickly, and help solve novel technical challenges. We value engineering judgment, problem-solving ability, and the capacity to build systems that can evolve with our growing needs.
Requirements
- Experience building and deploying AI/LLM-powered systems in production
- Proficiency in Python and modern ML frameworks (PyTorch, TensorFlow, HuggingFace)
- Strong grasp of prompt engineering, fine-tuning, and evaluation of LLMs
- Familiarity with distributed systems, APIs, and cloud infrastructure (AWS preferred)
- Comfort working across the stack — from model integration to frontend visualization
- Located in or willing to relocate to the San Francisco Bay Area
Nice To Haves
- Experience with DevOps/MLOps tools (Docker, Kubernetes, Conda)
Responsibilities
- Benchmark agents on protein design or molecule generation tasks
- Build and own end-to-end scalable AI systems, support hundreds of tenants, and operate at scale in production
- Integrate new LLMs into the platform and measure improvements
- Front-end development using React/Next.js
- Participate in AI strategy discussions directly with the founders
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
