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Senior Backend Engineer – AI Platform

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Onsite

Senior Backend Engineer – AI Platform

Destinare services

Senior Backend Engineer – AI Platform

Skills

DynamoDBReactTypescriptPythonMicroservicesTailwind CSSPostgreSQLAWS LambdaAmazon RedshiftAIAWSGitHubFastAPI

1 month ago

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Important information


Contract type:

Temporary

Location:

Telangana, India

Work mode:

Onsite

Published on:

28 September 2026

What they need


We are looking for a Senior Backend Engineer – AI Platform with strong hands-on experience in Pulumi to support and modernize data platforms for a healthcare technology environment.

Key Responsibilities

* Lead end-to-end design and delivery of event-driven microservices — API contracts, business logic, event publishing, error handling, and tests.

* Architect Python/FastAPI services on AWS EventBridge with straight-through-processing (STP) tier stamping, idempotency, and dead-letter handling designed in from day one.

* Design and integrate AWS Bedrock AgentCore agents across decisioning, scheduling, monitoring, and intelligence services; own prompt iteration and evaluation for those agents.

* Engineer agent reasoning chains, tool definitions, structured outputs, and fallback/escalation prompts that degrade gracefully to human-in-the-loop STP tiers.

* Build evaluation harnesses that replay seed-data scenarios against updated prompt versions and compare STP tier outcomes; feed agent metrics into Redshift materialized views.

* Mentor mid-level engineers through design reviews and pair programming; raise the bar on quality, performance, and observability.

* Work with the Data Engineer to validate seed-data column mappings from the legacy schema to the target platform schema.

* Deliver against fixed weekly milestone gates and lead cross-service integration testing across the full STP funnel.

Required Qualifications

* 7–9 years of backend engineering experience with a track record of shipping production systems; Python strongly preferred.

* Hands-on experience building with LLMs — agent design, prompt engineering, structured output, and tool/function calling — including multi-step agent orchestration, RAG/knowledge-base grounding, confidence-based escalation, and evaluating prompt changes against replayable test scenarios.

* Deep expertise in FastAPI or an equivalent async framework and event-driven microservice design.

* Strong AWS experience: EventBridge, ECS Fargate, Lambda, RDS PostgreSQL, and DynamoDB.

* Strong event-driven architecture knowledge: at-least-once delivery, idempotency, dead-letter handling, and saga patterns.

* Strong PostgreSQL experience, including schema design, constraint authoring, and index strategy.

* Ability to own services end-to-end in a fast-moving, milestone-gated sprint without hand-holding.

* Demonstrated ability to mentor engineers and lead technical discussions.

* Practical experience leveraging an agentic AI platform such as Claude Code, Cursor, or GitHub Copilot Agents across the software development lifecycle, with the ability to integrate AI-assisted workflows into team practices for coding, testing, review, and delivery.

AI-Assisted Engineering

AI-assisted engineering is core to the development environment. Hands-on fluency with agentic AI platforms across the software development lifecycle is essential for this role.

Preferred Qualifications

* Healthcare domain experience: 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.

Pay: Up to ₹3,000,000.00 per year

Experience:

  • pulumi: 4 years (Preferred)
  • healthcare: 5 years (Preferred)

Work Location: Hybrid remote in Gopanpalli, Telangana

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