Senior Software Engineer-Python, LangGraph,OpenAI Agents SDK, RAG,LLM
At a glance
Senior AI Engineering role at Jda. Hyderabad · full-time.
Pay not stated AI Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build and maintain production agent components in Python with OpenAI Agents SDK, LangGraph and LangFuse
- Deliver multi-tenant service features with tenant separation, scalability and secure defaults built in
- Write unit tests and automation, then address gaps found through mutation testing
- Work with DevOps on CI/CD pipelines, deployment automation and build or test failures
- Support incidents and post-mortems with technical analysis, fixes and documented lessons
What you bring
- A BE, B.Tech, ME, M.Tech or MCA, plus five to eight years of experience
- Strong Python skills and production use of LangGraph and LangFuse
- Experience with OpenAI Agents SDK, RAG, prompt and context engineering, and multi-agent orchestration
- Hands-on work with evaluation sets, evaluator creation, skill writing, MCP implementation and agent security
Who this fits
This suits a senior, hands-on engineer who can deliver agent features, contribute to team ceremonies and collaborate with DevOps. The role is based in Hyderabad, India.
From the employer
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 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.