GenAI Fullstack Engineer

Full Stack Engineer - Generative AIAbout the Opportunity

A leading technology-focused organisation is seeking a talented Full Stack Engineer to help design, build and scale innovative Generative AI solutions. This is an exciting opportunity to work on cutting‑edge AI applications, contribute to production‑grade platforms and collaborate with skilled professionals in a highly innovative environment.

The role offers exposure to emerging technologies, significant learning opportunities and the chance to influence both technical delivery and broader business initiatives.

As a Full Stack Engineer, you will:

• Collaborate with multidisciplinary teams to develop Generative AI proof‑of‑concepts using technologies such as Retrieval‑Augmented Generation (RAG) and intelligent agents.
• Scale successful proof‑of‑concepts into robust, production‑ready solutions.
• Design and develop full stack applications across both AI‑driven and traditional software projects.
• Support the development of infrastructure that enables secure, scalable and reliable end‑to‑end solutions.
• Explore emerging technologies and apply new innovations to real‑world challenges.
• Share knowledge across the team through coaching, mentoring and technical guidance.

You will have the opportunity to:

• Lead or contribute to proposals, bids, RFP responses and customer presentations.
• Help develop new service offerings and innovative solutions.
• Participate in customer engagement and business development activities.

You may also contribute to:

• Internal campaigns, thought leadership activities and white paper development.
• Recruitment, team‑building initiatives and practice operations.
• The evolution of technical capabilities, services and offerings.

The organisation is committed to continuous professional growth, offering:

• Access to training and industry‑recognised certifications.
• Opportunities to develop expertise in emerging technologies and high‑demand areas, including Generative AI.
• A collaborative environment that supports ongoing learning and career progression.

• Must hold active SC (Security Check) Clearance or be eligible to obtain and maintain this level of clearance.

• Experience building microservices using Python with FastAPI, Type Script with Express, or equivalent technologies.

• Experience developing React applications using Type Script.
• Familiarity with frameworks such as Next.js, Vite, or similar.

• Experience with Generative AI frameworks such as Lang Chain, Lang Graph, CrewAI, Vercel AI, or equivalent tools.
• Practical experience working with Large Language Models (LLMs), including platforms such as OpenAI, Anthropic, Mistral, Llama, or similar.
• Familiarity with tools that support local or hosted model deployment.

• Proficiency in AWS or Azure for application hosting and deployment.
• Hands‑on experience with Docker, Kubernetes and Docker Compose.
• Exposure to Infrastructure as Code tools such as Terraform.
• Experience with CI/CD platforms including Git Hub, Git Lab, Jenkins, or similar.
• Familiarity with monitoring and observability tools for AI applications and services.

• Experience with vector databases such as ChromaDB, Pinecone, PGVector, Qdrant, MongoDB, or similar solutions.
• Familiarity with No
  
  SQL databases.
• Experience working with SQL databases, particularly PostgreSQL or equivalent.

• Strong experience using Git and modern version control platforms.

• Experience working within Agile delivery environments.

• Strong stakeholder management and communication skills.
• Ability to…