GenAI Fullstack Engineer Full Stack Engineer – Generative AI
Posted
Overview
As a Full Stack Engineer, you will design, build and scale Generative AI applications, turning proof-of-concepts into production-ready solutions. You’ll collaborate across disciplines to deliver AI-driven and traditional software, contribute to secure, scalable infrastructure, and explore new technologies. You’ll share knowledge through mentoring and help shape innovative services. This role offers growth in emerging AI tech and a chance to influence both technical delivery and business initiatives.
Pay / Benefits- training and industry-recognised certifications
- opportunities for expertise in emerging technologies
- collaborative environment
- career progression
- inclusion and reasonable adjustments
- exposure to cutting-edge AI projects
- Collaborate with multidisciplinary teams to develop Generative AI proof-of-concepts (RAG, intelligent agents)
- Scale successful PoCs into production-ready solutions
- Design and develop full-stack applications across AI-driven and traditional projects
- Support development of secure, scalable end-to-end infrastructure
- Explore emerging technologies and apply innovations to real-world challenges
- Mentor and coach teammates with technical guidance
- Active SC (Security Check) clearance or eligibility
- Experience with backend microservices (Python + FastAPI, TypeScript + Express)
- Frontend experience with React and TypeScript (Next.js, Vite)
- Generative AI framework experience (LangChain, LangGraph, CrewAI, Vercel AI)
- Experience with LLMs (OpenAI, Anthropic, Mistral, Llama) and model deployment tools
- Cloud experience (AWS or Azure)
- Docker, Kubernetes, Docker Compose, Terraform
- CI/CD platforms (GitHub, GitLab, Jenkins)
- Monitoring/observability for AI apps
- Vector/NoSQL/SQL databases (ChromaDB, Pinecone, PGVector, Qdrant, MongoDB, PostgreSQL)
- Git and modern VCS
- Agile delivery experience
- Strong stakeholder management and communication skills
- Collaboration
- Effective communication with technical and non-technical audiences
- Stakeholder management
- Python + FastAPI
- TypeScript + Express
- React + TypeScript
Skills
- Agile
- AI
- Anthropic
- AWS
- Azure
- ChromaDB
- CI/CD
- Cloud
- CrewAI
- Docker
- Express.js
- FastAPI
- Generative AI
- Git
- GitHub
- GitLab
- Jenkins
- Kubernetes
- LangChain
- LangGraph
- LLM
- Microservices
- Mistral
- Model Deployment
- MongoDB
- Next.js
- NoSQL
- Observability
- OpenAI
- pgvector
- Pinecone
- PostgreSQL
- Python
- Qdrant
- React
- SQL
- Stakeholder Management
- Terraform
- TypeScript
- Vite