GenAI Full Stack Engineer - Managing Consultant

83zero; City Of London; Hybrid; GBP 65,000 - 80,000; Full time

Benefits offered by this job

Healthcare options

Job summary

83zero Ltd is seeking a GenAI Full Stack Engineer who will collaborate on GenAI POCs, scale them to production, and build full‑stack applications for GenAI and non‑GenAI projects. You will partner with senior stakeholders and work across modern cloud, container, and IaC stacks to deliver secure, scalable solutions.

The role offers a hybrid work model with travel to client sites, base locations including London, Manchester, Newcastle, and Glasgow.

Qualifications

• Experience in building microservices using Python with FastAPI or TypeScript with Express
• Frontend experience building React apps with TypeScript (Next.js or Vite)
• Familiarity with GenAI frameworks like LangChain, LangGraph, CrewAI, or Vercel AI
• Practical experience with LLMs (OpenAI, Anthropic, Mistral, Llama) and tools like Ollama
• Proficiency in AWS or Azure for hosting and deployment
• Hands-on containerization and orchestration with Docker and Kubernetes
• Experience with Infrastructure as Code tools such as Terraform
• Familiarity with LL M monitoring tools Langsmith, Langfuse
• Experience with CI/CD tools such as GitLab, GitHub, Jenkins
• Experience with vector databases (ChromaDB, Pinecone, PGVector, MongoDB, Qdrant)
• Familiarity with NoSQL (MongoDB preferred) and SQL (PostgreSQL)
• Proficiency in Git and version control platforms like GitHub/GitLab

Responsibilities

• Collaborate to develop GenAI POCs using RAG and intelligent agents
• Scale POCs to production-ready solutions for client use
• Design and develop Full Stack apps for GenAI and non-GenAI projects
• Support infrastructure development for robust end-to-end solutions
• Grow skills by exploring emerging GenAI technologies

Skills

Python FastAPI

TypeScript Express

React TypeScript

GenAI frameworks

LLM experience

AWS Azure

Docker Kubernetes

Terraform

Langsmith Langfuse

Git/GitHub/GitLab

Vector databases

MongoDB

PostgreSQL

Qdrant

ChromaDB

Pinecone

Tools

Docker

Kubernetes

Terraform

Job description

GenAI Full Stack Engineer - Managing Consultant

Salary: £65,000 - £80,000 pa 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.
• GenAI Frameworks: Familiarity with tools like LangChain, LangGraph, CrewAI, or Vercel AI (in Python or JavaScript).
• 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.

If you're ready to take the next step in your career and thrive in a fast-paced, innovative environment, we want to hear from you!