Fullstack AI Engineer

Fullstack AI Engineer

Assurity Trusted Solutions (ATS) is a wholly owned subsidiary of the Government Technology Agency (GovTech). As a Trusted Partner over the last decade, ATS offers a comprehensive suite of products and services ranging from infrastructure and operational services, authentication services, governance and assurance services as well as managed processes. In a dynamic digital and cyber landscape, where trust & collaboration are key, ATS continues to drive mutually beneficial business outcomes through collaboration with GovTech, government agencies and commercial partners to mitigate cyber risks and bolster security postures.

We build and operate mission-critical digital products used at scale. Our teams partner closely with stakeholders to design and deliver practical, product-centric solutions that address real operational needs.

AI is a core part of our work — from intelligent automation and search, to large language model (LLM)-powered applications, agentic workflows, and decision-support systems. Our engineers work across multiple types of initiatives: rapid Proof-of-Concepts (POCs), shared AI frameworks, and production-grade systems.

We operate in a cloud-native environment (AWS/Azure), build primarily with Python and JavaScript/TypeScript, and deliver modern web applications using frameworks such as React or Vue.js. We value strong engineering fundamentals, pragmatism, and operational excellence.

What you will be working on:

As a Fullstack AI Engineer, you will:

1. Design, build, and maintain end-to-end AI-powered applications, covering frontend, backend, and AI components.
2. Deliver Proof-of-Concepts (POCs) by rapidly building working prototypes to validate feasibility and demonstrate value within short timeframes.
3. Build and enhance core AI frameworks, libraries, and reusable components to enable faster and more consistent AI development across the team.
4. Develop production-grade AI systems, ensuring scalability, reliability, security, and maintainability.
5. Implement LLM-powered features, including prompt design, orchestration, structured outputs, and evaluation.
6. Build agentic or multi-step AI workflows using modern AI frameworks (e.g. LangGraph, LangChain, or similar).
7. Design and integrate search and retrieval systems, including data ingestion, vector indexing, and hybrid search.
8. Develop backend services and APIs using Python-based frameworks (e.g. FastAPI, Django) and/or Node.js/Nest.js.
9. Build intuitive user-facing interfaces using modern frontend frameworks (e.g. React, Vue.js).
10. Contribute to LLMOps / MLOps practices, including model versioning, evaluation, monitoring, and deployment workflows.
11. Work with cloud infrastructure, containerisation, and CI/CD pipelines to deploy and operate AI systems.
12. Balance speed and robustness appropriately across POCs, shared frameworks, and production systems.
13. Collaborate closely with product managers, designers, other engineers and stakeholders to translate requirements into working solutions.
14. Debug, monitor, and improve systems in production, upholding high standards of operational excellence.

What it is like working here:

We are focused on building products that address meaningful challenges faced by our agency partners in sectors like transportation, education, and healthcare. Your ability to combine AI and development skills will be crucial in driving innovation that enhances the lives of individuals across our society.

• Cross-Functional Collaboration - Engage with various stakeholders in a multi-disciplinary team to refine ideas and share knowledge.
• Rapid Prototyping and Productization - Moving from concept to viable product quickly while maintaining usability and performance.
• Continuous Learning - Embrace new technologies, frameworks, and methodologies that improve your skills and our solutions.
• Ownership of the Development Process - Take initiative, drive projects, and be accountable for delivering quality work.