Senior AI Engineer (AI Solutions - Agentic & Product)

Purpose of the Position:

We're looking for a Senior AI Engineer to help us build the next generation of AI-native products at Awin. The features you'll work on are used directly by advertisers, publishers and partner managers across our global ecosystem to grow and run their affiliate programs. Things like conversational AI experiences, intelligent automation and decision-support tools built on top of Large Language Models and agent-based architectures.

This is a senior product engineering role where you will own real problems end-to-end, make architecture decisions the team builds on and balance technical depth with the realities of shipping software to customers. We expect you to have an opinion on the system design, the evaluation strategy and the way we operate AI in production.

The Team:

You will be joining the AI Solutions team in our Growth Domain. This team is responsible for building AI-native products. Our work is highly visible and every feature you ship can have a real impact on how our customers manage and grow their affiliate programs. Our engineering culture is built on pragmatic problem solving, strong ownership, fast iteration and a high production bar set through rigorous evaluation, observability and safe-by-default design. We're cloud-first on AWS, working with a Python-based stack that combines agent orchestration, retrieval and standard backend foundations, refreshed as the field moves.

What You'll Do:

• Design, build and operate customer-facing AI features end-to-end, from conversational experiences to intelligent automation.
• Architect agent-based systems: multi-step reasoning, tool execution, sub-agent orchestration, state management and streaming, structured outputs, persistent memory and human-in-the-loop approval flows.
• Decide how the system grounds, retrieves and constructs context.
• Pick the right pattern (retrieval, structured tools, agentic flows) for each problem.

Requirements:

• 8+ years software engineering experience
• Python and backend systems expertise
• Hands-on production LLM experience
• Deep agent framework knowledge (LangGraph)
• RAG/retrieval expertise
• Structured evaluation capability
• AWS and PostgreSQL proficiency

Benefits:

• Four-day work week at full pay
• Remote working allowance
• Flexible office arrangements
• Health/dental coverage
• Furniture package after 3 months