Required Qualifications

Experience

- 210 years of experience in process re-engineering, software engineering, technical consulting, or a closely related field.

- Demonstrated hands-on experience building or deploying AI/ML-powered systems - including LLM-based applications, workflow automation tools, or decision-support systems.

- Prior client-facing technical delivery experience - implementations, integrations, or skilled services engagements.

- Exposure to healthcare IT systems, data standards, or payer/provider workflows is a strong plus (HL7, FHIR, EHR integrations, claims systems).

- Experience managing or mentoring junior engineers in a delivery context is preferred.

Technical Skills

- Proficient in Python and/or Node.js for building integrations, automation scripts,



and AI pipelines.

- Solid understanding of RESTful API design, microservices architecture, and cloud-native deployment patterns.

- Hands-on experience with at least one LLM orchestration framework (LangChain, LangGraph, AutoGen, or equivalent).

- Ability to read, write, and troubleshoot FHIR R4 resources and HL7 v2 messages.

- Comfort with containerization (Docker/Kubernetes) and CI/CD workflows.

- Strong debugging, root-cause analysis, and technical problem-solving skills in production or near-production environments.

📌 Forward Deployed Engineer( AI and Process Re-engineering) (Bengaluru)
🏢 Infinite
📍 Bengaluru