TRCI-26-06143
Agentic AI Field Engineer / Software Engineer (LLM Agents)
Hands-on contract role in London for an experienced software engineer to build and ship agentic AI solutions alongside customer technical teams. You will design single and multi-agent systems (tool use, retrieval/RAG pipelines, orchestration), integrate agents with enterprise APIs/cloud/databases and controls, and ensure production readiness through testing, evaluations, observability, runbooks and release safeguards. The role expects strong engineering discipline (debugging, integration, quality) while moving quickly from prototype to production using major agent stacks (Anthropic/OpenAI/Google/Microsoft and frameworks like LangGraph).
Position summary
- Location
- United Kingdom
- Workplace
- Hybrid
- Employment
- Contract
- Experience
- Minimum 5 years and Maximum 8 years
Role overview
Why This Role Matters.
Hands-on contract role in London for an experienced software engineer to build and ship agentic AI solutions alongside customer technical teams. You will design single and multi-agent systems (tool use, retrieval/RAG pipelines, orchestration), integrate agents with enterprise APIs/cloud/databases and controls, and ensure production readiness through testing, evaluations, observability, runbooks and release safeguards. The role expects strong engineering discipline (debugging, integration, quality) while moving quickly from prototype to production using major agent stacks (Anthropic/OpenAI/Google/Microsoft and frameworks like LangGraph).
Your Impact
Deliver Enterprise Value
Help organisations solve complex business problems through modern technology, consulting expertise and measurable outcomes.
Collaboration
Work Across Teams
Collaborate with consultants, architects, engineers and client stakeholders throughout the project lifecycle.
Growth
Learn Continuously
Gain exposure to enterprise technologies, certifications, mentoring and real-world project experience.
Career Path
Grow With Ubique
Build a long-term consulting career with opportunities to take on greater responsibility and leadership over time.
Responsibilities
What You'll Be Doing.
Every role at Ubique contributes directly to solving meaningful business challenges for our clients.
Work with customer technical teams to understand systems, constraints, data, deployment paths and operating needs.
Use coding agents and human engineering judgement to move quickly while preserving review, test and release discipline.
Integrate agents with enterprise systems, APIs, cloud services, databases, ticketing systems, model services and security controls, often through MCP and similar tooling.
Implement agent evaluations, automated tests, observability hooks, runbooks and release safeguards.
Troubleshoot implementation, deployment, data, model and integration issues.
Codify what works into reusable patterns, starter kits and playbooks, alongside technical decisions, defects, risks and lessons learned, to raise the floor for the wider practice.
Feed field insight back to the platform vendors through our partnerships, turning recurring friction and gaps into product feedback that shapes the tools you build on.
Support handover and production readiness with clear documentation and operational ownership.
Work with architects and delivery managers to keep implementation aligned to value and technical guardrails. What we are looking for These are the essentials. If you meet most of them, we want to hear from you.
Several years of production software engineering experience in Python, TypeScript, Java or comparable stacks.
Practical understanding of agentic patterns: tool use, retrieval, prompting, model behaviour, evaluation and multi-agent workflows such as orchestration, delegation and self-reflection.
Technology stack
Tools & Technologies.
The platforms and technologies you'll use to build modern, enterprise-grade solutions.
Python
TypeScript
Java
LLM
agents
agentic AI
multi-agent
tool use
function calling
prompting
RAG
retrieval pipelines
agent orchestration
LangGraph
Claude Agent SDK
OpenAI Agents SDK
Google Agent Development Kit
Microsoft Agent Framework
MCP
APIs
Requirements
Skills & Experience.
We value curiosity, collaboration and continuous learning. If you don't meet every requirement but believe you can make an impact, we'd still love to hear from you.
Essential
Required Qualifications
Production software engineering experience (5–8 years implied)
Programming in at least one of: Python, TypeScript, Java (or comparable)
Hands-on experience with LLMs and agent development on at least one major platform (Anthropic, OpenAI, Google, Microsoft)
Agentic patterns: tool use/function calling, prompting, model behavior, evaluation, multi-agent workflows (orchestration, delegation, self-reflection)
Building/integrating with APIs
Working with databases
Cloud platform experience or comparable deployment environments
Strong debugging skills
Testing discipline (automated tests)
Integration discipline (reliable integrations, release practices)
Ability to work in ambiguous delivery contexts with customers/cross-functional technical teams
Balance rapid prototyping with production-quality engineering
Preferred
Nice to Have
Taking agentic/AI systems from prototype to production rollout
Agent orchestration frameworks (e.g., LangGraph)
MCP servers and/or custom tool integrations
Data and retrieval pipelines (RAG)
Workflow automation
Model deployment experience
Evaluation frameworks and practices for AI systems
Observability for AI/agent systems
Troubleshooting and release safeguards for AI systems
Vendor certification on Anthropic, OpenAI, Google, or Microsoft AI platforms
What you'll gain
More Than Just A Job.
We're committed to helping every team member grow professionally, personally and technically while working on meaningful projects.
Global Exposure
Collaborate with international clients and multicultural teams on enterprise programmes.
Continuous Learning
Expand your expertise through mentoring, certifications and hands-on project experience.
Career Growth
Take ownership, develop leadership skills and grow your consulting career over time.
Flexible Working
Hybrid and remote collaboration designed around trust and delivering exceptional outcomes.
People First
Join a supportive culture where collaboration, respect and long-term relationships come first.
Enterprise Projects
Work on meaningful technology initiatives for leading organisations across industries.
Apply
Apply for Agentic AI Field Engineer / Software Engineer (LLM Agents)
One page, about two minutes. We only ask for what we actually need to have a first conversation.