Senior Software Engineer-Python, LangGraph,OpenAI Agents SDK, RAG,LLM

jda; Hyderabad; In loco; INR 2.500.000 - 3.800.000; Tempo pieno

Vantaggi offerti da questo lavoro

Descrizione del lavoro

Blue Yonder is seeking a hands-on Agent Engineer in Hyderabad to design, build, and maintain production-grade agent solutions using Python, OpenAI Agents SDK, LangGraph, and LangFuse. You will contribute to multi-tenant services with strong isolation, reliable CI/CD, and automated testing.

You will collaborate with senior architects and product managers, implement test-driven development, support incident response, and ensure security-by-default practices while delivering observable, scalable

Competenze

• BE/B.Tech or ME/M.Tech or MCA with 5 to 8 years of experience.
• Proficient with Python and OpenAI Agents SDK.
• Experience with LangGraph and LangFuse in production environments.

Mansioni

• Design, implement, and maintain production agent components in Python using the specified tools.
• Deliver features for multi-tenant services with tenant isolation and secure defaults.
• Write and maintain unit tests and participate in mutation testing cycles.
• Collaborate in Agile ceremonies and help ensure reliable CI/CD pipelines.

Conoscenze

Python

OpenAI Agents SDK

RAG

Prompt Engineering

Context Engineering

Agent Orchestration

Security by design

CI/CD

Observability

Formazione

BE/B.Tech or ME/M.Tech or MCA

Strumenti

LangGraph

LangFuse

OpenAI Agents SDK

Descrizione del lavoro

Scope:

We are seeking a hands-on Agent Engineer to design, build, and maintain production-grade agent solutions using Python using OpenAI Agents SDK, LangGraph, and LangFuse. The role focuses on feature delivery for multi-tenant services with strong tenant isolation, reliable CI/CD, rigorous automated testing (including mutation testing), and secure-by-default development practices. Delivers high-quality code, writes tests, participates in Agile ceremonies, collaborates with DevOps, and supports incident response and operational excellence.

Our current technical environment:

The engineer will be part of Retail planning agent team working alongside some of the senior architects and product managers and agent developers. Blue Yonder uses AI-driven Cognitive Solutions and agentic systems to turn fragmented supply chain data into real-time, global decisions. The role will play a key role in leveraging Blueyonder Agentic Platform to deliver solutions to our customers to push the frontier faster

What you'll do:

Primary Responsibilities

• Design, implement, and maintain production agent components in Python using OpenAI Agents SDK, LangGraph and LangFuse, following clean-code principles and team standards.
• Deliver features for multi-tenant services with built-in tenant isolation, baseline scalability, and secure defaults.
• Produce clear, testable user stories and decompose work into subtasks with measurable acceptance criteria.
• Write and maintain comprehensive unit tests and test automation; actively participate in mutation testing cycles and remediate identified gaps with guidance from senior engineers.
• Collaborate in Agile ceremonies (backlog grooming, sprint planning, daily standups, retrospectives) and reliably deliver committed sprint work while surfacing risks early.
• Work with DevOps to maintain and improve CI/CD pipelines: automate routine deployments, add relevant test stages, and troubleshoot build/test failures.
• Participate in incident response and post-mortem activities: provide technical analysis, implement remediation tasks, and document lessons learned.
• Incorporate information-security and data-privacy best practices in design, implementation, and code reviews.
• Monitor and improve observability: add meaningful metrics, logs, and traces to support debugging and operational visibility.
• Keep up to date with agent development patterns, testing techniques, and observability tooling and propose practical improvements for the team.

Secondary Responsibilities

• Provide constructive code review feedback and incorporate reviewer suggestions to raise code quality and consistency.
• Produce and maintain onboarding documentation, runbooks, and troubleshooting guides to accelerate new team members and reduce operational friction.
• Identify and implement small refactors and focused performance improvements; elevate larger refactor or architectural changes for team prioritization.
• Help maintain CI/CD health: fix broken builds, add automation for linting and tests, and improve pipeline reliability.
• Participate in technical interviews and candidate evaluations on request.
• Assist with benchmarking and profiling tasks and implement remediation under supervision.
• Ensure your work aligns with the team vision and communicate impediments that could block delivery.

What we are looking for:

• BE/B. Tech or ME/M. Tech or MCA with 5 to 8 years of experience

• Proficient with Python, OpenAI Agents SDK, RAG, Prompt Engineering, Context Engineering
• Experience in benchmarking Evaluation sets, writing evaluators.
• Multi Agent Orchestration- Worker (Supervisor), Concurrent (Fan-Out/Fan-In) etc
• Skill Writing, MCP Implementation
• Agent Security and Responsible AI
• Direct experience with LangGraph and LangFuse in production environments

• Strong technical knowledge, excellent communication skills, and the ability to work effectively within a team are essential for success in this role.

Additional Skills:

• Knowledge of Retail Planning Products
• DevOps
• Deploying agent with Performance, Scale, Reliability in Production

Our Values

If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success - and the success of our customers. Does your heart beat like ours? Find out here: Core Values

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.