GenAI Full Stack Engineer - Managing Consultant

83zero

Manchester

Hybrid

GBP 65,000 - 80,000

Full time

7 days ago
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Job summary

83zero Ltd is seeking a GenAI Full Stack Engineer - Managing Consultant in a Hybrid role across London, Manchester, and other UK bases. You will design and implement GenAI-powered web applications, collaborating with stakeholders to translate business issues into scalable tech solutions.

You’ll build microservices, manage cloud deployments, and explore GenAI tools to enhance client value. You will work on POCs using RAG, scale them for production, and develop end-to-end GenAI and non-GenAI

Qualifications

  • Experience building microservices (Python FastAPI) or TypeScript (Express) in production environments.
  • Frontend experience with React and TypeScript in web apps.
  • Familiarity with GenAI frameworks and LLM tooling.
  • Cloud hosting/deployment on AWS or Azure; containerization with Docker/Kubernetes.

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 infrastructure to enable end-to-end solutions.
  • Keep pace with emerging GenAI technologies and practices.

Skills

Backend: Python
TypeScript
Frontend: React
GenAI frameworks
LLMs
AWS/Azure
Docker/Kubernetes
Terraform
Langsmith
CI/CD
Vector DBs
PostgreSQL
Git

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.

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