EMBS Ltd © 2024
Justian Blount
Data & AI Practice Director
Full Time
London, London
£70,000
GenAI | Python | Enterprise AI Platform - Build the core of a next-gen Generative AI ecosystem for a global finance services business.
Available as permanent or contract:
Contract Rate: £400–£450 per day (Inside IR35, initial 6-9 months)
Permanent Salary: £60k–£70k per annum
If you’re a strong Python engineer who’s genuinely excited by the possibilities of GenAI in real enterprise environments, this is a brilliant opportunity. You’ll be working on a large-scale Generative AI platform that’s reshaping how a major global finance services business builds, deploys, and adopts AI across the business.
Expect hands-on engineering, real problem solving, and plenty of collaboration as you help architect, automate, and operationalise LLM-driven services at scale.
What You’ll Be Doing:
Building backend services and APIs that give secure, governed access to LLM capabilities
Developing Python-based GenAI components including prompt orchestration and evaluation tooling
Integrating LLMs with enterprise systems, observability layers, and security frameworks
Designing and maintaining CI/CD pipelines using Azure DevOps
Working closely with platform leads, architects, and SRE teams to ensure stable, scalable operations
Supporting benchmarking, evaluation, and experiment tracking to measure LLM performance and cost
Contributing to RAG implementations and vector-driven retrieval patterns
Helping shape platform patterns, reusable components, and clear documentation
Troubleshooting performance issues across distributed systems and cloud services
What You’ll Bring:
5+ years of backend engineering experience, with strong Python at the core
Hands-on exposure to GenAI technologies and Large Language Models
Practical understanding of LLM evaluation, prompt handling, and operational complexities
A DevOps-first approach with experience in CI/CD, observability, and automation (Azure DevOps preferred)
Confidence working in regulated enterprise environments with tight security controls
Experience integrating AI or ML services into real-world applications
Knowledge of authentication, secret management, networking, and model access governance
Bonus Points For:
Kong API Gateway, Kong Mesh, Flux CD
AWS stack: EC2, EKS, S3, SQS, DynamoDB, Bedrock
RESTful API development with FastAPI, microservices, Terraform, GitOps workflows
Prompt evaluation tools such as Promptfoo
SQL and NoSQL experience: MySQL, PostgreSQL, MongoDB, Cassandra
Exposure to RAG patterns and vector search technologies
What Success Looks Like:
Secure, reusable GenAI components running smoothly in production
Faster engineering delivery through automation and DevOps maturity
High observability and strong evaluation built in from day one
Platform teams and application teams genuinely enjoying what you build
Clean documentation and an onboarding flow that makes adoption effortless
Role Details:
Rate: £400–£450 per day Inside IR35, or permanent £60k–£70k salary
If you’re keen to help shape one of the most exciting GenAI platforms in the enterprise world, drop me a message and we can get things moving. Interviews won’t stay open for long.
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