Job Description
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