Full Stack AI Engineer
Core
Design, build, and maintain end-to-end full-stack applications and the underlying infrastructure, integrating AI/GenAI workloads and LLMs for clients in the private and public sectors.
Role type
Senior IC Full Stack AI Engineer
Builds
Production-grade web applications, AI/GenAI services, and cloud infrastructure
Domain
Digital transformation, Public sector, Financial services
Deliverable
production ML models
Required skills
Full stack development, Cloud engineering, LLM integration, RAG, AI agents, Agentic workflows, Backend languages (Java/Python), Modern JavaScript frameworks, API design, Relational data modelling, CI/CD, Containerisation, Infrastructure as Code, Automated testing, Transactional databases
Preferred skills
Cloud certifications (AWS Solutions Architect, CKAD), Financial services or public sector client experience
Technologies
Spring, Quarkus, FastAPI, Node.js, React, REST, GraphQL, Docker, Kubernetes, Terraform, GitLab CI, GitHub Actions, Jenkins, PostgreSQL, MySQL, SQL Server, AWS, Azure, GCP
Responsibilities
Design and deploy production-grade full-stack applications with AI/GenAI components; Integrate LLMs, RAG, and AI agents into user-facing applications; Manage cloud infrastructure (compute, storage, networking, IAM); Implement CI/CD pipelines and Infrastructure as Code; Act as a technical point of contact for clients and operations teams; Produce technical and non-technical user documentation