GenAI Fullstack Engineer

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.

Additional Opportunities

Business Development

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.

Internal Initiatives

You may also contribute to:

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

Learning & Development

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., This is an opportunity to join a forward-thinking organisation where innovation, collaboration and professional growth are central to success. You will work on impactful projects, contribute to the adoption of emerging technologies and play a key role in delivering next-generation AI solutions.

Eligibility

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

Technical Expertise

Backend Development

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

Frontend Development

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

Generative AI Technologies

• Experience with Generative AI frameworks such as LangChain, LangGraph, 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.

Cloud & Infrastructure

• 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 GitHub, GitLab, Jenkins, or similar.
• Familiarity with monitoring and observability tools for AI applications and services.

Database Technologies

• Experience with vector databases such as ChromaDB, Pinecone, PGVector, Qdrant, MongoDB, or similar solutions.
• Familiarity with NoSQL databases.
• Experience working with SQL databases, particularly PostgreSQL or equivalent.

Version Control

• Strong experience using Git and modern version control platforms.

Working Practices

• Experience working within Agile delivery environments.

Communication Skills

• Strong stakeholder management and communication skills.
• Ability to communicate effectively with both technical and non-technical audiences.
• Comfortable collaborating with internal teams and external stakeholders.