GenAI & Agentic AI 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

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