GenAI Full Stack Engineer

83zero; Greater London, Manchester, Newcastle upon Tyne, Glasgow; Hybrid; GBP 45,000 - 70,000; Full time

Benefits offered by this job

Bonus scheme

Healthcare options

Hybrid work model

Travel to client site

Job summary

83zero is seeking a GenAI Full Stack Engineer - Consultant to join our team in a hybrid role with client site travel. You will craft GenAI strategies, build POCs with RAG and intelligent agents, and scale them to production while delivering full-stack applications for GenAI and non-GenAI projects.

You will work closely with stakeholders to translate business issues into scalable, secure, and sustainable technical solutions and continually grow in a dynamic environment.

Qualifications

• Experience building microservices using Python with FastAPI or TypeScript with Express or equivalent.
• Frontend experience with React and TypeScript, Next.js or Vite.
• Practical experience with LLMs and tools like Ollama.
• Proficiency in AWS or Azure for hosting and deployment.
• Docker, Kubernetes and Docker Compose hands-on.
• Terraform exposure for IaC.
• Familiarity with Langsmith or Langfuse for monitoring.
• CI/CD experience with GitLab, GitHub or Jenkins.
• Experience with vector databases like ChromaDB, Pinecone, PGVector, MongoDB, Qdrant.
• Familiarity with NoSQL (MongoDB) and SQL (PostgreSQL).
• Proficient in Git and version control platforms.

Responsibilities

• Collaborate to develop GenAI POCs for clients using RAG and intelligent agents.
• Scale POCs to production-ready solutions for customer use.
• Design and develop full-stack applications for GenAI and non-GenAI projects.
• Support development of infrastructure to enable end-to-end solutions.
• Grow skills by exploring emerging GenAI technologies.

Skills

Backend development

Frontend development

LLM experience

Git & version control

Cloud platforms

CI/CD

Containerization

IaC

Monitoring

SQL

NoSQL

Security awareness

Tools

Python (FastAPI)

TypeScript (Express)

React (TypeScript)

Next.js / Vite

OpenAI / Anthropic / Mistral / Llama

Ollama

AWS

Azure

Docker

Kubernetes

Docker Compose

Terraform

Langsmith / Langfuse

GitLab / GitHub / Jenkins

ChromaDB / Pinecone / PGVector / MongoDB / Qdrant

PostgreSQL

Job description

GenAI Full Stack Engineer - Consultant / Senior Consultant

Salary: £45,000 - £70,000 pa + £4,000 Bonus plus benefits, perks and healthcare options

Job Type: Permanent - Hybrid / 2 x days per week - Travel to client site

Base Locations: London, Manchester, Newcastle, Glasgow

Overview: We're looking for a GenAI Full Stack Engineer who is passionate about solving real-world challenges through technology. You'll work closely with senior stakeholders both internally and within key clients to create GenAI strategies that translate business issues into relevant technical solutions and competitive propositions that are scalable, secure, and sustainable.

Your Role

• Collaborate with the team to develop GenAI proof-of-concepts (POCs) for clients using technologies like Retrieval-Augmented Generation (RAG) and intelligent agents.
• Scale existing POCs to production-ready solutions for customer use.
• Design and develop Full Stack applications for both GenAI and non-GenAI projects.
• Support the development of infrastructure to enable robust end-to-end solutions.
• Grow your skills by exploring and experimenting with emerging technologies, including GenAI.

Your skills and experience

• Backend Development: Experience in building microservices using either Python with FastAPI, or TypeScript with Express or equivalent
• Frontend Development: Experience in building React applications using TypeScript, leveraging frameworks such as Next.js or Vite.
• LLM experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama.
• Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment.
• Containerization and Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose.
• Infrastructure as Code (IaC): Exposure to tools like Terraform.
• Monitoring Tools: Familiarity with LLM monitoring tools like Langsmith, Langfuse, or similar.
• CI/CD: Experience with continuous integration and deployment tools such as GitLab, GitHub, or Jenkins.
• Vector Databases: Experience with and (but not limited to) ChromaDB, Pinecone, PGVector, MongoDB , Qdrant etc.
• NoSQL: Familiarity with NoSQL databases (e.g., MongoDB preferred).
• SQL: Experience working with SQL databases like PostgreSQL.
• Proficient in Git and version control platforms like GitHub, GitLab, etc.

To be successfully appointed to this role, it is a requirement to obtain Security Check (SC) clearance.