Lead GenAI Full Stack Engineer / Managing Consultant

83zero
London, United Kingdom
3 weeks ago
£77,000 – £88,000 pa
Applications closed

Related Jobs

View all jobs
Spotlight

Forward Deployed Engineer

SolveAI London, United Kingdom
Hybrid

AI Success Engineer

OpenAI United Kingdom
On-site

AI Success Engineer

OpenAI United Kingdom
Hybrid

Partner AI Deployment Engineer - AWS

OpenAI London, United Kingdom
On-site

Data Solutions Lead - German, Data Collection Excellence

Amazon London, United Kingdom
On-site

Head of Applied AI Engineering

Incubator for AI United Kingdom
Hybrid Clearance Required

Solutions Architect (Retail/CPG)

Databricks London, United Kingdom

Salary

£77,000 – £88,000 pa

Job Type
Permanent
Work Location
Hybrid
Seniority
Lead
Education
Degree
Security Clearance
Required
Posted
30 Apr 2026 (3 weeks ago)

Benefits

£8,000 bonus Healthcare options

GenAI Full Stack Engineer - Managing Consultant

Salary: £77,000 - £88,000 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.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise AI Jobs in the UK (2026 Guide)

Where to advertise AI jobs UK in 2026: the specialist boards and communities that reach AI engineers, ML scientists and applied research talent in the UK. The candidate pool is small, highly informed and in demand across multiple sectors simultaneously. General job boards reach a broad audience but lack the specificity that AI professionals expect — and the filtering mechanisms they rely on. Specialist platforms, direct outreach and academic channels each serve a different part of the market. This guide, published by ArtificialIntelligenceJobs.co.uk, covers where to advertise AI roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about time-to-hire across different role types.

AI Jobs UK 2026: What to Expect Over the Next 3 Years

AI Jobs UK 2026: roles, salaries and the generative AI, machine learning and applied AI hiring trends shaping UK artificial intelligence careers. Artificial intelligence is creating jobs faster than the market can name them. New roles are appearing every quarter, existing titles are splitting into specialisms, and the technologies underpinning it all are evolving at a pace that makes even last year's job descriptions feel dated. For job seekers, this presents a genuinely unusual challenge. In most industries, career planning means understanding a relatively stable landscape and working out where you fit within it. In AI, the landscape itself is being redrawn in real time. The roles with the most hiring activity in 2028 may not yet have a widely agreed job title in 2026. That's not a reason to feel overwhelmed — it's a reason to get informed. The candidates who thrive in this market aren't necessarily those with the longest CVs or the most credentials. They're the ones who understand the direction of travel: which skills are gaining value, which technologies are driving employer decisions, and how the definition of an "AI job" is expanding well beyond the tech sector. This article breaks down what the UK AI jobs market is likely to look like over the next three years — covering emerging job titles, the technologies reshaping hiring, the skills employers are prioritising, and how to position yourself ahead of the curve rather than behind it.