03 Aug
|
Induansh Private
|
India
03 Aug
Induansh Private
India
Job Title: AI / ML Engineer (AI Automation Lead)
Experience: 7+ Years
Location: Remote
Job Summary
We are seeking a highly skilled AI / ML Engineer (AI Automation Lead) to architect and deliver enterprise-grade AI automation solutions for the Healthcare and Revenue Cycle Management (RCM) domain. The ideal candidate will have deep expertise in Python, AI Agents, LLMs, workflow orchestration, cloud technologies, and scalable backend architectures, with experience building production-ready AI platforms.
Key Responsibilities
- Design and develop AI-powered automation platforms and intelligent workflows.
- Build scalable backend services using Python (FastAPI/Flask/Django), REST APIs, and microservices.
- Implement workflow orchestration using Temporal (preferred) or equivalent platforms.
- Develop AI Agents using CrewAI, AutoGen, LangGraph, Semantic Kernel, and integrate with Amazon Bedrock/OpenAI/Azure OpenAI.
- Design secure, event-driven architectures with OAuth2, JWT, SSO, RBAC/ABAC.
- Integrate Python services with C#/.NET, enterprise applications, and third-party APIs.
- Build AI-driven Healthcare workflows across RCM, Claims, Eligibility, Enrollment, Prior Authorization, and Document Automation.
- Drive AI Ops, CI/CD,
monitoring, observability, and production support.
- Mentor engineers and establish engineering best practices.
Required Skills
- Python, FastAPI, Flask/Django
- REST APIs, Async Programming, Microservices
- Temporal or Workflow Orchestration
- AI Agent Frameworks (CrewAI, AutoGen, LangGraph, Semantic Kernel)
- LLMs, RAG, Prompt Engineering, Guardrails, MCP
- Amazon Bedrock / OpenAI / Azure OpenAI
- Vector Databases (Pinecone, ChromaDB, pgvector)
- AWS (Preferred) or Azure
- Docker, Git, CI/CD
- PostgreSQL, SQL Server, Redis, NoSQL
- OAuth2, JWT, SSO, API Security
Preferred Qualifications
- Experience building enterprise AI automation platforms.
- Solid Healthcare/RCM domain expertise.
- Hands-on experience with distributed systems and scalable architectures.
- Proven experience leading technical teams and delivering production-grade AI solutions.
Nice to Have
Kubernetes Kafka/RabbitMQ GraphQL Terraform Databricks Snowflake MLflow React FHIR/HL7
Pay: ₹80,000.00 - ₹100,000.00 per month
Experience:
- AI/ML: 7 years (Required)
Work Location: Remote
📌 AI/ML Engineer (India)
🏢 Induansh Private
📍 India