Ubique Systems

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
Apply now

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.

01

Build on the major agentic stacks, including the Claude Agent SDK, OpenAI Agents SDK, Google Agent Development Kit, Microsoft Agent Framework and vendor neutral frameworks such as LangGraph, choosing the right one for the customer’s needs.

02

Work with customer technical teams to understand systems, constraints, data, deployment paths and operating needs.

03

Use coding agents and human engineering judgement to move quickly while preserving review, test and release discipline.

04

Integrate agents with enterprise systems, APIs, cloud services, databases, ticketing systems, model services and security controls, often through MCP and similar tooling.

05

Implement agent evaluations, automated tests, observability hooks, runbooks and release safeguards.

06

Troubleshoot implementation, deployment, data, model and integration issues.

07

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.

08

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.

09

Support handover and production readiness with clear documentation and operational ownership.

10

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.

11

Several years of production software engineering experience in Python, TypeScript, Java or comparable stacks.

12

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.

01

Python

02

TypeScript

03

Java

04

LLM

05

agents

06

agentic AI

07

multi-agent

08

tool use

09

function calling

10

prompting

11

RAG

12

retrieval pipelines

13

agent orchestration

14

LangGraph

15

Claude Agent SDK

16

OpenAI Agents SDK

17

Google Agent Development Kit

18

Microsoft Agent Framework

19

MCP

20

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)

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