Back End Engineer

Backend Engineer Chennai/Bengaluru/Hyderabad Hybrid 4 + years Preferred: Healthcare Domain Must Have Skills: Python, Gen AI, RAG, LLM, AWS/Azure, SQL Required Qualifications 46 years of backend engineering experience; Python strongly preferred, with FastAPI or an equivalent async framework. Hands-on experience building with LLMs agent design, prompt engineering, structured output, and tool / function calling including RAG / knowledge-base grounding, guardrails, and graceful fallback handling when model confidence is low. AWS proficiency: EventBridge, ECS Fargate, Lambda, RDS PostgreSQL, and DynamoDB. Event-driven architecture fundamentals: at-least-once delivery, idempotency, dead-letter handling, and saga patterns. PostgreSQL depth: schema design, constraint authoring, and index strategy. Solid grasp of REST API design, asynchronous programming, and automated testing. Ability to own a service end-to-end in a fast-moving, milestone-gated sprint without hand-holding. Hands-on experience using an agentic AI platform (e.g. Claude Code, Cursor, GitHub Copilot Agents, Windsurf) across the software development lifecycle from coding and testing to debugging and code review. AI-assisted engineering is core to how we build at Simplify Alpha. Hands-on fluency with agentic AI platforms across the software development lifecycle is essential for this role. Preferred Qualifications Healthcare domain: EDI 270/271 / 837/835 transactions, Medicaid eligibility, or claims workflows. Prompt evaluation frameworks: LangSmith, PromptFlow, or custom evaluation harness experience. Kinesis Data Streams consumer implementation and real-time telemetry ingestion patterns. React 18 / TypeScript / Tailwind CSS; ESRI or Google APIs for real-time map UIs. Pulumi Infrastructure-as-Code, AWS multi-AZ deployment patterns, and Redshift Serverless materialized view design. Technology Stack You will work across an event-driven, AI-native platform stack on AWS: Layer Technologies Languages Python, SQL, TypeScript Backend Python (FastAPI), async event-driven microservices, Pydantic AI & Agents AWS Bedrock AgentCore, prompt engineering, LLM tool / function calling, evaluation harnesses Cloud (AWS) ECS Fargate, Lambda, API Gateway, IAM, CloudWatch, multi-AZ RDS Eventing & Streaming AWS EventBridge, Kinesis Data Streams (real-time telemetry), SQS IaC & Automation Pulumi (Infrastructure-as-Code from day one) CI/CD GitHub Actions, Azure DevOps Pipelines Data & Caching RDS PostgreSQL (multi-AZ), DynamoDB, Redshift Serverless, ElastiCache Redis