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

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.