Remote LLM Integration Engineer — Contract (AI Agents)

LLM Integration Engineer — Remote Contract Opportunity We’re seeking experienced engineers to support advanced LLM and AI agent integration projects helping improve next-generation autonomous systems. This is a flexible, project-based engineering role focused on building, evaluating, and improving multi-step AI agent workflows used in frontier Large Language Model (LLM) systems. About the work You’ll contribute to the development and evaluation of AI systems that: Execute multi-step reasoning and workflows Coordinate complex automated tasks Integrate with real-world tools and APIs Operate in structured, production-like environments Generate and refine high-quality system outputs Your work directly supports the training and optimisation of advanced AI agents used in real-world applications. What you’ll do Build and evaluate modular backend and agent systems Support integration of LLMs with APIs, databases, and external tools Analyse system behaviour and provide structured technical feedback Improve reliability, orchestration, and workflow performance Identify edge cases, failures, and system vulnerabilities Work with multi-step, production-style AI environments What we’re looking for 2+ years of experience in: Systems integration Experience with SQL databases and modular system design Comfortable working in live, non-mocked environments Strong analytical thinking and attention to detail Nice to have Experience building multi-stage or agent-based workflows API integrations (e.g. Supabase, Gmail, external services) Familiarity with persistent state/session tracking systems Exposure to LLM tooling, orchestration, or AI agent frameworks Understanding of security risks such as prompt injection or privilege escalation Why this opportunity Fully remote, flexible project-based contract work Hourly engagements with competitive compensation Work on frontier AI and autonomous agent systems Opportunity for ongoing technical projects based on performance High-impact work shaping next-generation LLM capabilities #J-18808-Ljbffr SoTalent