Artificial Intelligence Engineer
Core
Design, build, and deploy LLM-powered applications and internal tools for document understanding, process automation, and knowledge retrieval in life sciences.
Role type
Applied AI Engineer (LLM focus)
Builds
Intelligent systems, scalable infrastructure, and internal platforms for life sciences solutions
Domain
Life Sciences + Applied AI / LLMs
Deliverable
production ML models
Required skills
LLM deployment, Python, FastAPI, embeddings, vector databases, MLflow, API development, AI ethics
Preferred skills
Docker, Kubernetes, RAG, LangChain, cloud-agnostic infrastructure, CI/CD, regulated industry experience
Technologies
GPT, Claude, LLaMA, Mistral, FAISS, Weaviate, Pinecone, FastAPI, MLflow, Docker, Kubernetes, Azure, AWS, GCP
Responsibilities
Design and deploy LLM applications; develop reusable AI infrastructure; integrate vector databases; build scalable APIs; manage model versioning; collaborate on data access and service delivery; support AI ethics discussions; contribute to architectural decisions.
Seniority
Mid-level to Senior, hands-on IC
