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

Blue Yonder · blueyonder.com
HyderabadMid level3–6 yrs
Apply on Blue Yonder’s site

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The job in short

Python LLM agent and RAG engineering.

PythonDevOpsLLMRAGAgenticPrompt engineeringSupply chain

Details

Found
17 d ago · posted 2026-10-06
Location as listed
Hyderabad
Role
Machine Learning / AI Engineer
Source
The company’s own careers site

Full description

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; escalate 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 3 to 6 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.

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