Gen AI Engineer - Python
Posted Updated
Description
Responsibilities:
- Design, build, and enhance AI and generative AI solutions using Python.
- Develop and manage agentic workflows for complex task execution.
- Create effective prompts, system instructions, and agent interaction patterns.
- Build AI applications using Python-based tools, frameworks, and ADKs.
- Work with MCP, agent/tool integration patterns, and orchestration frameworks.
- Implement and manage RAG-based techniques for context-aware AI use cases.
- Use MLflow or similar tools to support experiment tracking and model lifecycle workflows.
- Collaborate in an Agile delivery environment with cross-functional teams.
- Translate business requirements into scalable AI-enabled solutions.
- Support testing, debugging, and optimisation of Python-based AI applications.
Requirements:
- Strong hands-on experience in Python development.
- Strong understanding of AI and generative AI concepts.
- Experience building agentic AI solutions.
- Hands-on experience with Python ADK or similar agent development frameworks.
- Good understanding of prompt engineering.
- Ability to write effective instructions for agents and define agent behaviours.
- Experience with agentic flows / orchestration patterns.
- Working knowledge of MCP (Model Context Protocol).
- Experience with RAG techniques.
- Familiarity with MLflow or similar ML lifecycle tooling.
- Exposure to LangGraph or graph-based orchestration frameworks.
- Good understanding of Agile / Agile team ways of working.
- Strong debugging, problem-solving, and Python coding skills.
Good to have:
- Experience in big data ecosystems.
- Hands-on experience with PySpark.
- A complementary secondary skill aligned to the primary AI/Python skillset, such as data engineering, cloud, or MLOps.
- Exposure to scalable data processing pipelines.
- Familiarity with deploying AI workloads in enterprise environments.
- Experience in Python (strong proficiency), LangChain and LangGraph, RAG (Retrieval-Augmented Generation), multi-agent systems, and memory systems (long-term/short-term, persistence, and conversational checkpoints).