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Developer III - Agentic AI Developer

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Onsite

Developer III - Agentic AI Developer

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Developer III - Agentic AI Developer

Skills

Google Cloud PlatformSQL QueriesData EngineeringTypescriptPythonData AnalysisMachine LearningAIAWSdbtApache AirflowJavascript

1 month ago

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Important information


Contract type:

Permanent

Location:

Hyderabad, Telangana, India

Work mode:

Onsite

Published on:

24 September 2026

What they need


About the Role:

We're looking for a strong engineer with real depth in system design, software architecture, and building scalable, production-grade systems.
You think in terms of systems, trade-offs, and long-term maintainability, and you deliver robust solutions end to end. We build scalable services and AI agents (using the OpenAI Agents SDK) — core software engineering is what we test for; AI/LLM exposure is a plus.

What You'll Do:

  • Design, build, and maintain scalable, reliable, high-performance services and APIs.
  • Own architectural decisions for your area and articulate trade-offs (performance, scalability, cost).
  • Lead end-to-end design — data modeling, service boundaries, orchestration, deployment.
  • Ensure systems are observable, fault-tolerant, and production-ready.
  • Raise the bar on code quality, reviews, and engineering standards; mentor others.

What We're Looking For:

  • 5–8 years designing distributed systems and scalable architectures.
  • Strong understanding of scalability, reliability, fault tolerance, and observability, with the ability to explain design trade-offs.
  • Proficiency in Python and/or TypeScript/JavaScript.
  • Hands-on experience with production services, APIs, and data stores (SQL/NoSQL), including caching and messaging/queues.
  • Strong fundamentals — clean, well-tested, maintainable code.
  • Experience with a cloud platform (AWS or GCP).

Nice to Have:

  • Exposure to AI agents / agentic frameworks (OpenAI Agents SDK, LangGraph, LangChain).
  • Familiarity with LLM application patterns, orchestration, and RAG pipelines.
  • Data engineering: batch/streaming pipelines, warehouse/lakehouse modeling, orchestration (Airflow, dbt), and powering reporting/analytics.
  • Foundational ML and data concepts.

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