

EMBS Technology
GenAI Python Developer X4
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a GenAI Python Developer (x4) on a hybrid basis in London, offering a contract rate of £400–£450 per day (Inside IR35) for 6-9 months or a permanent salary of £60k–£70k. Requires 5+ years of backend engineering experience, strong Python skills, and hands-on exposure to GenAI technologies.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
318
-
🗓️ - Date
November 7, 2025
🕒 - Duration
More than 6 months
-
🏝️ - Location
Hybrid
-
📄 - Contract
Fixed Term
-
🔒 - Security
Unknown
-
📍 - Location detailed
London Area, United Kingdom
-
🧠 - Skills detailed
#FastAPI #API (Application Programming Interface) #Microservices #NoSQL #DevOps #Azure #SQL (Structured Query Language) #PostgreSQL #ML (Machine Learning) #AWS (Amazon Web Services) #Azure DevOps #MongoDB #AI (Artificial Intelligence) #SQS (Simple Queue Service) #Python #Automation #DynamoDB #Scala #EC2 #S3 (Amazon Simple Storage Service) #Documentation #Observability #Cloud #Terraform #Security #MySQL
Role description
GenAI Python Developers x4
Location: Hybrid/London
Available as permanent or contract:
Contract Rate: £400–£450 per day (Inside IR35, initial 6-9 months)
Permanent Salary: £60k–£70k 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
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.
GenAI Python Developers x4
Location: Hybrid/London
Available as permanent or contract:
Contract Rate: £400–£450 per day (Inside IR35, initial 6-9 months)
Permanent Salary: £60k–£70k 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
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.






