Engineer

• Assess AI feasibility during diligence and set technical direction for data products, retrieval pipelines, model orchestration, agentic workflows, evaluation, deployment, and monitoring
• Design and build LLM workflows, retrieval systems, and agentic applications using portfolio companies' enterprise data and infrastructure
• Define secure, scalable reference architectures across major cloud and AI platform services
• Establish evaluation and observability standards, including test sets, automated evaluations, tracing, quality scoring, latency and cost monitoring, and regression testing
• Build human-in-the-loop controls and sound data/security practices
• Develop working prototypes that can evolve into production systems
• Transfer knowledge directly to portfolio company technical teams to support handoff and hiring
• Evaluate emerging models, frameworks, and tools and recommend practical adoption choices
• Work in a small specialised pod alongside an AI product manager
• Embed within portfolio companies and hand off solutions once they are ready to scale

Explore Lead – Principal GenAI Engineer at Devsu. Review requirements and application details.