LLM Integration Engineer

sotalent United Kingdom
Remote
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AI Summary

We are seeking experienced engineers to support advanced LLM and AI agent integration projects. 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. The role requires strong proficiency in backend engineering, AI automation, and systems integration.

Key Highlights
Build and evaluate modular backend and agent systems
Support integration of LLMs with APIs, databases, and external tools
Analyze system behavior and provide structured technical feedback
Key Responsibilities
Build and evaluate modular backend and agent systems
Support integration of LLMs with APIs, databases, and external tools
Analyze system behavior 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
Technical Skills Required
Backend engineering AI automation Systems integration Python JavaScript SQL databases Modular system design
Benefits & Perks
Fully remote, flexible project-based contract work
Hourly engagements with competitive compensation
Opportunity for ongoing technical projects based on performance
Nice to Have
API integrations
Persistent state/session tracking systems
LLM tooling, orchestration, or AI agent frameworks

Job Description


LLM Integration Engineer — Remote Contract Opportunity

🌍 Fully Remote (UK-based) | ⏳ Project-Based | 💻 Hourly Contract Work

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:
  • Backend engineering
  • AI automation
  • Systems integration
  • Strong proficiency in at least two languages (Python, JavaScript, Go, Java, etc.)
  • 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


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