Agentic AI / GenAI Consultant | From Prototype to Production

Datatech Analytics; Glasgow; On-site; GBP 90,000 - 130,000; Full time

Job summary

Datatech Analytics is seeking an Agentic AI / GenAI Consultant to take promising ideas from prototype to secure, production-grade applications in Azure or GCP. You will work with clients and cross-functional teams to design, build, test and deploy GenAI solutions across data science, product management and cloud architecture.

You will implement end-to-end AI workflows, including LLM integrations and multi-agent setups, while upholding robust engineering practices and governance within complex

Qualifications

• Strong Python engineering with API development experience.

Responsibilities

• Building full-stack GenAI and agentic applications.
• Designing workflows with human review, audit trails, safeguards and evaluation.
• Creating features such as streaming responses, citations, review loops and error recovery.
• Developing APIs, backend services and frontend components.
• Building RAG pipelines, LLM integrations and multi-agent solutions.
• Deploying applications on Azure or GCP.
• Working with clients to understand needs and demonstrate value.
• Contributing to demonstrations, proposals and new AI offerings.
• Applicants must have resided continuously in the UK for the past five years.

Skills

Python engineering

APIs (FastAPI/Django/Flask)

SQL

LLM applications

RAG pipelines

LangChain

CrewAI

AutoGen

OpenAI Agents

Google ADK

Docker

CI/CD

Testing best practices

Client-facing delivery

Tools

FastAPI

Django

Flask

Docker

CI/CD

Azure

GCP

Job description

Agentic AI / GenAI Consultant | From Prototype to Production

Location: Glasgow | Manchester | London

Ref: J13190

An established transformation consultancy is growing its AI engineering team. They’re looking for someone who can work with clients to turn promising AI ideas into secure applications that people can use in production.

You’ll be involved from the first conversations and prototypes through to building, testing and deploying solutions. The work spans traditional machine learning, Generative AI and agentic workflows, alongside data scientists, cloud architects, product managers and business consultants.

Responsibilities:

• Building full-stack GenAI and agentic applications
• Designing workflows with human review, audit trails, safeguards and evaluation
• Creating useful product features such as streaming responses, citations, review loops and error recovery
• Developing APIs, backend services and frontend components
• Building RAG pipelines, LLM integrations and multi-agent solutions
• Deploying applications on Azure or GCP
• Working with clients to understand their needs and demonstrate the value of a solution
• Contributing to demonstrations, proposals and new AI offerings

Experience Required:

• Strong Python engineering, with experience building APIs using FastAPI, Django or Flask, plus SQL
• Hands‑on work with LLM applications, RAG, MCP or model integrations
• Agentic workflows using tools such as LangChain, CrewAI, AutoGen, OpenAI Agents or Google ADK
• Experience taking applications into production with cloud AI services, Docker, CI/CD, automated testing and sound engineering practices

You don’t need every tool on that list. What matters is that you can build AI applications, test them properly and work with clients from the initial idea through to production. Previous consulting experience, or comparable client-facing delivery within a complex organisation, is important.

Applicants must have resided continuously in the UK for the past five years.