GenAI Python Developer

EMBS Engineering; City Of London; Hybrid; GBP 65,000 - 75,000; Full time

Job summary

A global finance services business is seeking experienced GenAI Python Developers for a hybrid role in London. You will be responsible for building backend services and integrating LLMs, contributing to a cutting-edge Generative AI platform. Ideal candidates have strong Python skills and experience in DevOps practices. This position offers a competitive salary and a dynamic team environment focused on innovation in AI.

Qualifications

• 5+ years of backend engineering experience.
• Hands-on exposure to GenAI technologies and LLMs.
• DevOps-first approach with experience in CI/CD.

Responsibilities

• Building backend services and APIs for LLM capabilities.
• Developing Python-based GenAI components.
• Integrating LLMs with enterprise systems.

Skills

Backend engineering

Strong Python

GenAI technologies

DevOps practices

Regulated enterprise environments

Integration of AI/ML services

Tools

Azure DevOps

AWS stack

FastAPI

SQL

NoSQL

Job description

GenAI Python Developer x4
Location: Hybrid/London

Salary: £65k £75k per annum

GenAI Python Enterprise AI Platform - Build the core of a next-gen Generative AI ecosystem for a global finance services business.

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

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.