Software Engineer (AI+Fullstack)

Software Engineer (AI & Full Stack) - Senior Consultant

Salary: £60,000 - £70,000 pa + £4,000 Bonus plus benefits, perks and healthcare options

Base locations: London, Manchester, Newcastle or Glasgow

Job Type: Permanent | Hybrid (2 days per week) | Occasional travel to client site

Overview:

We're looking for a Software Engineer with strong frontend and backend development skills and experience with various GenAI frameworks to join a growing team delivering innovative AI-powered solutions for enterprise clients.

This is an opportunity to work at the intersection of modern software engineering and Generative AI, building intelligent applications that solve real business challenges. You'll collaborate with senior stakeholders, architects, and engineering teams to design, develop, and scale production-ready solutions using the latest AI technologies and cloud-native engineering practices.

Key Skills:

AI & GenAI: LLMs, RAG, Agents, LangChain, LangGraph, CrewAI, Vercel AI SDK, OpenAI, Anthropic, Mistral, Llama.

Full Stack Engineering: Python, TypeScript, React, APIs, Microservices, FastAPI.

Cloud & DevOps: AWS/Azure, Docker, Kubernetes, Terraform, CI/CD.

Data & Vector Search: PostgreSQL, MongoDB, Pinecone, Qdrant, ChromaDB, PGVector.

Observability & Tooling: LangSmith, Langfuse, Git, GitHub, GitLab.

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! Please send updated CV