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# AGILE PROGRAM LEADER L1

- **Company:** Wipro Technologies
- **Location:** London, UK
- **Experience:** Expert
- **Contract:** Internship / Graduate position
- **Skills:** LangGraph Framework, AI Evaluation, Artificial Intelligence, Amazon Web Services, Cloud Computing, Code Coverage, Code Review, Cursor, Python (Programming Language), Open Source Technology, Pair Programming, Systems Development Life Cycle, OpenAI, Strategies of Testing, Data Processing, Cloud Platform System, Retrieval-Augmented Generation, Large Language Models, Claude Code, Multi-Agent Systems, Prompt Engineering, Llamaindex, AI Coding Agents, Git, AI Platforms, Information Technology, Software Version Control
- **Published:** October 20, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=bd9f00626dbfd2bc

## About the Role

You'll bring experience in many of these areas:

 * Python Proficiency: Ability to write clean, maintainable and testable production Python code.
 * Foundational AI/LLM Knowledge: Understanding of how LLMs are applied in production settings (agents, RAG, prompt engineering).
 * GenAI Frameworks: Exposure to frameworks like AWS Strands, OpenAI Agents SDK, Google ADK, DSPy or similar libraries (LangChain/LangGraph, LlamaIndex).
 * Software Engineering Fundamentals: Solid grasp of version control (Git), testing strategies and CI/CD pipelines.
 * AI Coding Tools: Fluent use of modern AI coding assistants (Cursor, Claude Code, Codex).
 * Cloud Awareness : Familiarity with cloud environments, preferably AWS.
 * Quality & Governance : Curiosity about AI evaluation frameworks and a willingness to work within regulated governance standards.
 * Education & Experience : A degree in Computer Science, STEM or equivalent practical experience, supported by relevant portfolio projects, open-source work or internship experience. (AWS Cloud Practitioner certifications are a bonus).

Mandatory Skills: AI for SDLC .

## Description

* Contributing clean, production-quality Python code for multi-agent systems and applied AI components.
 * Designing and implementing component-level solutions, including prompt construction approaches and tool integration methods.
 * Building and maintaining test coverage across individual AI modules to ensure reliability and quality.
 * Leveraging AI-powered coding assistants (Claude Code, Cursor, Codex) to accelerate development and maintain high engineering standards.
 * Adhering to responsible AI standards, flagging potential compliance, bias or data handling concerns early.
 * Participating actively in code reviews and pair programming to continuously develop your technical skills.
 * Collaborating with AI platform and product teams to understand requirements and integrate shared tooling.