Back End Engineer (Telangana)

Back End Engineer (Telangana)

04 Aug
|
Indium software
|
Telangana

04 Aug

Indium software

Telangana

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 quick-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

📌 Back End Engineer (Telangana)
🏢 Indium software
📍 Telangana

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