Ai Engineer

Description:

This role is part of an AI platform team that are building reusable foundations to accelerate the adoption of AI (ML & agentic) within one of our largest clients. We are looking for an AI/ML Engineer who can be responsible for designing, building, and deploying agentic AI solutions, working closely with product and client teams to bring use cases into production.

Key Responsibilities:

• Prototype and iterate on AI use cases rapidly
• Develop and implement agentic workflows Integrate LLMs, APIs, and data pipelines into scalable solutions
• Collaborate with PMs and stakeholders to refine requirements
• Ensure model performance, reliability, and monitoring
• Contribute to best practices in AI engineering and MLOps

Required Experience:

• Strong Python with agent frameworks
• Experience with LLMs and prompt engineering
• Solid understanding of data pipelines and APIs
• Experience deploying models in production environments
• Familiarity with cloud platforms (AWS/Azure/GCP)
• Strong problem-solving and collaboration skills

Desirable Experience:

• Knowledge of vector databases and retrieval-augmented generation (RAG)
• Exposure to MLOps tooling (CI/CD, monitoring, model versioning)
• Experience in regulated industries (e.g. utilities, energy)