Python Developer - AI

83zero Ltd; Greater London; Hybrid; GBP 45,000 - 55,000; Full time

Benefits offered by this job

Healthcare options

Hybrid work model

Job summary

83zero Ltd is seeking a hands-on Python Developer for GenAI projects in London. You will build production-grade AI applications, APIs and microservices, applying LLMs and RAG technologies to real-world client needs.

The role is hybrid (2 days on site) with opportunities to work across the full lifecycle, deploying solutions on AWS/Azure, and collaborating with enterprise stakeholders.

Qualifications

• Strong commercial Python development experience.
• ,

Responsibilities

• Build production applications and APIs using Python and FastAPI.

Skills

Python

APIs

Microservices

LLMs

RAG

LangChain

LangGraph

CrewAI

Vector databases

OpenAI

Anthropic

Mistral

Llama

AWS

Azure

Docker

Kubernetes

PostgreSQL

MongoDB

Git

CI/CD

React/TypeScript

Terraform

IaC

GenAI POCs

Tools

FastAPI

Pinecone

Qdrant

ChromaDB

PGVector

OpenAI

Anthropic

Mistral

Llama

Job description

Python Developer - GenAI

• Salary: £45,000 - £55,000 plus benefits, perks and healthcare options
• Locations: London, Bristol, Manchester, Glasgow or Newcastle
• Job Type: Permanent | Hybrid / 2 days per week onsite | Occasional travel to client sites
• Requirements: SC eligibility & full right to work in the UK required (no sponsorship available)

The Role:
We're looking for hands‑on Python Developers at Consultant level who have experience building software and a practical understanding of Generative AI, LLMs and RAG.
This is a coding‑focused role for engineers who enjoy building real solutions. You'll use Python as your primary development language, developing APIs, services and AI applications using technologies such as LLMs, RAG, AI agents and vector search.
You'll work across the development lifecycle, helping take GenAI ideas and POC's through to robust, production‑ready applications for enterprise clients.

What you'll be doing:

• Build production applications and APIs using Python and FastAPI
• Develop LLM, RAG and AI agent solutions
• Build RAG pipelines covering embeddings, retrieval and generation
• Work with OpenAI, Anthropic, Mistral, Llama and similar LLMs
• Use LangChain, LangGraph, CrewAI or similar AI frameworks
• Work with vector databases including Pinecone, Qdrant, ChromaDB and PGVector
• Take GenAI POCs into production and scale them
• Build APIs, microservices and AI integrations
• Deploy solutions using AWS/Azure, Docker and Kubernetes
• Write clean, testable and maintainable Python code
• Work with PostgreSQL, MongoDB, Git and CI/CD
• Collaborate with engineers, architects and client stakeholders

What we're looking for:

• Strong commercial Python development experience
• Experience building APIs, microservices and backend applications
• Hands‑on experience with LLMs, Generative AI and RAG
• Experience with AI frameworks such as LangChain, LangGraph or CrewAI
• Experience with vector databases and semantic search
• Experience with OpenAI, Anthropic, Mistral, Llama or similar
• Good software engineering, testing and Git practices
• Experience with AWS or Azure, Docker and ideally Kubernetes
• Experience with PostgreSQL, MongoDB or similar databases
• Experience with CI/CD using GitHub, GitLab or Jenkins
• Agile engineering experience
• Experience with AI agents, tool calling, embeddings, prompt engineering or LLM observability is beneficial
• React/TypeScript and Terraform/IaC experience is beneficial
• Experience taking GenAI POCs into production is highly beneficial

Why this role?
You'll work on real‑world AI engineering projects, combining strong Python software development with modern GenAI technologies.
The focus is on building and engineering, giving you the opportunity to write code, develop AI applications and solve technical problems while working with the latest LLM and RAG technologies.
You'll also have the opportunity to work directly with enterprise clients and develop your experience across both software engineering and Generative AI.

If you're a strong Python engineer with hands‑on GenAI experience and want to build production‑level AI applications, we'd like to hear from you.