01
TRCI-26-06864
AI Engineer (AgentQ)
This contract role focuses on building and operating AI agent workflows for AgentQ, including prompt chains, tool integrations, backend connectors, and lightweight RAG pipelines. The core requirements are hands-on Python development, experience with LLM applications or agent workflows, backend API fundamentals, and familiarity with vector databases, embeddings, SQL, and cloud data environments. The work also includes automated testing and quality evaluation, production debugging, monitoring, and technical documentation; LangChain, LlamaIndex, OpenAI, Anthropic, and Mosaic AI are cited as examples rather than exclusive tools. The structured experience band is 2–5 years, while the description specifies 2+ years of hands-on experience. The location is Europe and the employment type is contract; work mode is not specified.
Position summary
- Location
- Europe
- Workplace
- Hybrid
- Employment
- Contract
- Experience
- Minimum 2 years and Maximum 5 years
Role overview
Why This Role Matters.
This contract role focuses on building and operating AI agent workflows for AgentQ, including prompt chains, tool integrations, backend connectors, and lightweight RAG pipelines. The core requirements are hands-on Python development, experience with LLM applications or agent workflows, backend API fundamentals, and familiarity with vector databases, embeddings, SQL, and cloud data environments. The work also includes automated testing and quality evaluation, production debugging, monitoring, and technical documentation; LangChain, LlamaIndex, OpenAI, Anthropic, and Mosaic AI are cited as examples rather than exclusive tools. The structured experience band is 2–5 years, while the description specifies 2+ years of hands-on experience. The location is Europe and the employment type is contract; work mode is not specified.
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.
02
Build backend connectors, REST APIs, and lightweight data retrieval pipelines (RAG) linking enterprise data sources and vector stores with agent workflows.
03
Create and run automated test suites, benchmark datasets, and quality evaluations to measure agent accuracy, latency, and guardrail compliance.
04
Debug edge cases, monitor production agent runs, and iterate on prompts, retrieval parameters, and fallback logic.
05
Document agent architectures, API interfaces, and operational runbooks for cross-functional engineering teams.
Technology stack
Tools & Technologies.
The platforms and technologies you'll use to build modern, enterprise-grade solutions.
01
Python
Required
02
LLM
Required
03
large language models
Required
04
RAG
Required
05
retrieval-augmented generation
Required
06
AI agents
Required
07
agent workflows
Required
08
prompt chains
Required
09
tool calling
Required
10
function calling
Required
11
REST APIs
Required
12
FastAPI
Required
13
Flask
Required
14
JSON Schema
Required
15
asyncio
Required
16
asynchronous programming
Required
17
Git
Required
18
vector databases
Required
19
vector stores
Required
20
embeddings
Required
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
Python software engineering with at least 2 years of hands-on experience
Practical experience building LLM-powered applications, RAG pipelines, or agent workflows
Developing and maintaining prompt chains and tool or function-calling integrations
Backend engineering with REST APIs, including FastAPI or Flask
JSON schemas, asynchronous programming, and Git workflows
Familiarity with vector databases and embeddings
Basic SQL and cloud data environment familiarity
Automated testing, benchmark datasets, and quality evaluation for agent workflows
Preferred
Nice to Have
Experience with LangChain or LlamaIndex
Experience with OpenAI, Anthropic, or Mosaic AI APIs
Experience with Databricks, AWS, or Azure
Production agent monitoring, guardrail evaluation, and fallback logic
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 AI Engineer (AgentQ)
One page, about two minutes. We only ask for what we actually need to have a first conversation.