Location: Bangalore, Chennai
About Us
We on a mission to make world-class medical care accessible and operations seamlessly efficient.
We build AI agents that augment both operations staff and clinicians.
Scalefresh is a talented team of creative and passionate engineers and medical professionals. We are looking to expand our team.
About the Role
As an AI Engineer, you will build agent workflows that power clinical processes. You'll work directly with founding team and clinicians to ship AI agents that improve care delivery while complying with HIPAA and other security requirements.
Examples of work you will be involved in
- Develop AI agents that healthcare team can delegate work to and get 10x more done
- Build multi LLM workflows using advanced techniques like plan & execution, self-reflection, context management, dynamic tools etc.
- Build context retrieval via RAG from varied clinical data sources
- Leverage tool calling and MCP servers to execute actions
- Create evaluation methods that measure both AI performance and clinical safety
- Red team healthcare AI systems to find vulnerabilities
You'll be encouraged to be creative, own projects end-to-end, and shape how AI transforms healthcare delivery.
About You
- You are passionate about healthcare and AI technology
- You have strong software engineering fundamentals
- You enjoy working with a small group of expert level programmers
- You've shipped software products, especially AI or ML components
- You're security-first. Data security and HIPAA compliance baked into how you design systems
- You move fast (but don't break things)
Requirements
- 3+ years building software applications. 1 year building AI systems in production
- Hands-on experience with RAG architectures and vector stores (Pinecone, Weaviate, pgvector, etc.)
- Experience with agent frameworks. LangGraph preferred, but we're open to other frameworks if you've shipped with them
- Strong Python skills and comfort with modern AI stack
Bonus Points
- Experience with healthcare interoperability standards (HL7, FHIR)
- Clinical workflow automation or EHR integration experience
- Experience with HIPAA-compliant systems and healthcare data security
- Open-source contributions to healthcare AI or agent tooling
- Background in clinical research or healthcare operations
Why Join?
- Real impact: Your work directly improves patient care and clinician workflows
- Own your work: End-to-end ownership from design to deployment
- Learn fast: Work across clinical AI, security, and production systems
- Competitive compensation
