Job Title: AI Solutions / AI Fullstack Engineer
Location: Pune, MH / Bangalore, KA / Chennai, TN / Hyderabad, TG
Work Hours: 2 PM - 11 PM IST
Notice: Immediate - 30 Days Joiner
Experience: 7 - 12 Years
Mandate Skillset: Python, AI/ML experience, RAG, C#, .Net, LLMs, GenAI Frameworks (LangGraph / Lang Chain / Llama Index / AutoGen / Crew AI / Hugging Face), Azure AI Services, ReactJs and US Healthcare (Domain Expertise)
Responsibilities
- Partner directly with healthcare business stakeholders to understand workflows, challenges, and strategic objectives across payer operations.
- Translate business needs into scalable, secure, cloud native technology solutions.
- Design enterprise solution architecture and build end-to-end applications across frontend, backend, APIs, integrations, data platforms, and AI capabilities.
- Develop production grade software using .NET, Python, modern frameworks, microservices, APIs, and engineering best practices.
- Drive cloud engineering, DevOps, CI/CD, Infrastructure as Code, automation, monitoring, and operational excellence.
- Leverage AI/LLMs, intelligent agents, and automation to improve healthcare operations, engineering productivity, and business outcomes.
- Identify modernization opportunities and proactively recommend innovative solutions.
- Own the complete solution lifecycle—from discovery, architecture, design, development, testing, deployment, and production support.
- Mentor engineering teams and establish engineering excellence through architecture standards, coding practices, and innovation.
Domain Skills
- Strong expertise in healthcare payer/provider domains such as Member Enrollment & Eligibility, Claims Processing & Adjudication, Provider Management, Healthcare EDI (HIPAA X12 Transactions), Benefits Administration, Prior Authorization, Care Management (CM), Utilization Management (UM), Disease Management (DM), Clinical Operations, Grievance & Appeals (G&A), Payment Integrity.
- Experience with healthcare interoperability standards such as HL7/FHIR, APIs, and healthcare data exchange patterns is preferred.
Technical Skills
- Full Stack Engineering including fullstack application development, .NET / C#, Python, REST APIs & Microservices, Modern Frontend Frameworks, SQL / NoSQL databases, event driven architecture
- Cloud & DevOps expertise in Azure Cloud Architecture, cloud native application development, Azure DevOps / GitHub Actions, CI/CD automation, containers & Kubernetes, Infrastructure as Code, security, performance, and scalability engineering
- AI & Intelligent Engineering skills such as AI/LLM solution design and implementation, generative AI applications, agentic AI workflows, Retrieval Augmented Generation (RAG), intelligent automation, AI enabled software engineering practices
