AI Engineer

About The Role

We are looking for a Senior AI Engineer to design, build, and scale AI systems powering next-generation healthcare products. You will work on real-time inference, AI agents, and large-scale data pipelines that directly impact clinical workflows.

This role sits at the intersection of backend engineering and applied AI, with strong ownership across the full lifecycle of AI systems—from experimentation to production at scale.

Key Responsibilities AI Systems & Microservices

• Design and build Python microservices (FastAPI) for:
• Real-time inference
• Structured data processing
• Ensure systems scale reliably to millions of users
  

LLM & Agent Architecture

• Build and orchestrate:
• LLM pipelines
• AI agents and multi-step workflows
• Use tools like LangChain, LangGraph, or custom frameworks
  

End-to-End Ownership

• Own AI systems from:
• Design → Development → Production
• Handle:
• Monitoring & observability
• Cost optimization
• Failure modes and reliability
  

Data Pipelines & Evaluation

• Develop pipelines for:
• Data ingestion
• Processing
• Evaluation
• Build dashboards to monitor and improve model performance
  

Product Integration

• Integrate AI models into core healthcare products
• Improve automation, accuracy, and user (doctor) experience
  
  

Cross-Functional Collaboration

• Work closely with:
• Engineers
• Product managers
• Clinical stakeholders
• Translate ambiguous problems into scalable AI solutions
  

Technical Leadership

• Set standards for:
• AI system design
• Evaluation methodologies
• Raise the overall engineering bar
  

Required Skills

• Strong experience with:
• Python
• FastAPI
• Experience with AI frameworks:
• LangChain / LangGraph / PydanticAI
• Strong knowledge of:
• LLM orchestration
• AI agents
• Pipeline design
• Experience with:
• Vector databases / graph databases
• PostgreSQL / Firestore
• Understanding of:
• AI observability & monitoring
• Data pipelines
  

Requirements

• 5–8+ years of backend / AI engineering experience
• Proven experience building AI applications in production
• Strong experience with:
• RAG (Retrieval-Augmented Generation)
• Vector stores & knowledge graphs
• Track record scaling systems to high user volumes
• Fluent in English
• Comfortable working in fast-moving, ambiguous environments
  

Nice to Have

• Experience in healthcare or clinical products
• Experience with real-time AI systems
• Familiarity with cost optimization of LLM systems
  
  

Skills: design,databases,microservices,pipelines,data,optimization