Genai Full Stack Engineer - Managing Consultant

83zero Limited; Greater London; Hybrid; GBP 80,000 - 89,000; Full time

Job summary

A UK consulting firm is seeking a GenAI Full Stack Engineer to tackle real-world challenges through innovative technology solutions. This role focuses on developing proof-of-concepts and production-ready applications for clients, leveraging advanced GenAI techniques. The ideal candidate will possess strong back-end and front-end development skills, experience with cloud platforms, and familiarity with Large Language Models. This position offers a hybrid working model with opportunities to explore emerging technologies.

Benefits

£8,000 Bonus

Healthcare options

Flexible working hours

Qualifications

• Experience in building microservices using Python or TypeScript.
• Experience in building React applications using TypeScript with frameworks like Next.js.
• Familiarity with GenAI tools like LangChain or Vercel AI.
• Practical experience with Large Language Models like OpenAI or Anthropic.
• Proficiency in AWS or Azure.
• Hands-on experience with Docker and Kubernetes.
• Exposure to Infrastructure as Code tools like Terraform.
• Familiarity with LLM monitoring tools.

Responsibilities

• Collaborate with the team to develop GenAI proof-of-concepts (POCs).
• Scale existing POCs to production-ready solutions.
• Design and develop Full Stack applications.
• Support the development of infrastructure for end-to-end solutions.
• Explore and experiment with emerging technologies.

Skills

Backend Development

Frontend Development

GenAI Frameworks

LLM experience

Cloud Platforms

Containerization

Infrastructure as Code (IaC)

Monitoring Tools

CI/CD

Vector Databases

NoSQL

SQL

Proficient in Git

Job description

GenAI Full Stack Engineer - Managing Consultant

Salary: £80,000 - £88,500 pa + £8,000 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.
• 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.