Senior GenAI Python Engineer — Production AI Apps

83zero Ltd; Glasgow; Hybrid; GBP 60,000 - 70,000; Full time

Benefits offered by this job

Healthcare options

Hybrid work arrangement

Job summary

83zero Ltd is seeking a Senior Python Developer to lead GenAI-powered solutions. You’ll build production-grade Python code, APIs and AI-enabled services for enterprise clients, leveraging LLMs, RAG and AI agents.

You’ll work across the full development lifecycle, deploying applications with AWS/Azure, Docker and Kubernetes, while collaborating with client stakeholders and engineers to deliver robust, scalable systems.

Qualifications

• SC eligibility & full right to work in the UK (no sponsorship)
• Senior-level Python development experience
• Experience building APIs, microservices and backend applications
• Hands-on experience with LLMs, Generative AI and RAG

Responsibilities

• 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 or similar LLMs
• Use LangChain, LangGraph, CrewAI or similar AI framework
• 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

Skills

Strong Python development

GenAI / LLMs

API / Microservices

Distributed systems

AWS/Azure

Tools

FastAPI

Docker

Kubernetes

PostgreSQL

MongoDB

LangChain

Job description

83zero Ltd is seeking a Senior Python Developer to lead GenAI-powered solutions. You’ll build production-grade Python code, APIs and AI-enabled services for enterprise clients, leveraging LLMs, RAG and AI agents.

You’ll work across the full development lifecycle, deploying applications with AWS/Azure, Docker and Kubernetes, while collaborating with client stakeholders and engineers to deliver robust, scalable systems.