Product Engineer; AI Agents

Overview

AI Agent Engineer / AI Agent Builder (Startup)

We’re working with a well-funded, early-stage AI company building next-generation agentic systems for enterprise workflows.

This isn’t about simple chatbots or wrappers around APIs - this team is focused on designing production-grade AI agents that can reason, take action, and operate reliably in complex, real-world environments.

They’re looking for engineers who enjoy working at the intersection of LLMs, systems design, and product, and who want to push beyond prompt engineering into true agent architecture.

• Designing and building multi-step, agentic workflows powered by LLMs
• Developing tool-calling systems that integrate with real enterprise software
• Building robust RAG pipelines, memory systems, and context management layers
• Creating evaluation frameworks to measure and improve agent performance
• Shipping production-ready AI systems with strong reliability, observability, and guardrails

• Experience building LLM-powered systems in production (not just prototypes)
• Strong understanding of agentic architectures, tool use, and orchestration
• Hands-on experience with RAG, vector databases, and retrieval systems
• Ability to design scalable backend systems (Python, distributed systems, APIs)
• Familiarity with frameworks like Lang Chain, Lang Graph, Llama Index, or similar
• A mindset focused on evaluation, reliability, and real-world performance

• Experience with multi-agent systems or complex orchestration patterns
• Exposure to LLM evaluation, post-training, or fine-tuning workflows
• Built systems involving memory, planning, or long-running agent tasks
• Background in early-stage startups or building products from scratch

• Work on cutting-edge AI systems beyond typical GenAI applications
• Join a small, high-calibre team with strong technical leadership
• Own systems end-to-end, from design to production
• Meaningful impact on real enterprise use cases, not demos