AI Technical Developer

Who We Are

Born digital, UST transforms lives through the power of technology. We walk alongside our clients and partners, embedding innovation and agility into everything they do. We help them create transformative experiences and human‑centered solutions for a better world.

UST is a mission‑driven group of 29,000+ practical problem solvers and creative thinkers in more than 30 countries. Our entrepreneurial teams are empowered to innovate, act nimbly, and create a lasting and sustainable impact for our clients, their customers, and the communities in which we live.

AI Technical Developer / ML Engineer II

We are seeking a highly skilled AI Technical Developer to lead the design, development, and deployment of cutting‑edge AI‑driven product solutions. This role involves collaborating closely with product development, architecture, and management teams to propel the advancement of AI technologies working with business teams and end‑customers.

• Design, develop and maintain scalable Python‑based backend services and microservices for enterprise applications.
• Build and integrate AI/ML and LLM‑driven solutions, including model inference services, data pipelines, and API exposure.
• Develop and maintain modern UI applications using Angular, React ensuring seamless integration with Python backends.
• Deploy, manage, and optimize containerized workloads on Kubernetes on Bare Metal (KOB) platforms.
• Implement end‑to‑end Dev Ops practices including CI/CD, infrastructure automation, monitoring and observability.
• Apply security‑by‑design principles across application, API, container and infrastructure layers.
• Collaborate cross‑functionally with product, architecture, QA, platform and security teams to deliver high‑quality solutions.
• Ensure code quality through unit testing, integration testing, code reviews and documentation.

• Strong hands‑on experience with Python (3.x) for enterprise application development.
• Expertise with FastAPI, Flask or Django frameworks.
• Proficiency in building RESTful and event‑driven APIs.
• Strong understanding of asynchronous programming, threading and performance optimisation.
• Experience with SQL and No
  
  SQL databases (Postgre
  
  SQL, MySQL, Mongo
  
  DB, Redis).
• Experience developing and integrating AI/ML solutions into production systems.
• Hands‑on exposure to machine learning frameworks such as PyTorch, Tensor Flow or Scikit‑learn.
• Experience with LLMs, prompt engineering and AI service orchestration is a strong plus.
• Understanding of model lifecycle management, monitoring and inference performance tuning.
• Data Science tools and visualization tools.
• Strong experience developing applications with Angular.
• Proficiency in Type Script, RxJS, component‑based architecture and state management.
• Ability to integrate UI with secure backend APIs.
• Familiarity with responsive UI design, accessibility standards and performance optimisation.
• Hands‑on experience with Docker and containerisation best practices.
• Strong expertise in Kubernetes on Bare Metal (KOB), including cluster set‑up, upgrades, troubleshooting, networking (CNI), storage (CSI), ingress configurations, high availability and fault tolerance.
• Experience with CI/CD pipelines (Azure Dev Ops, Git Hub Actions, Git Lab CI, Jenkins).
• Infrastructure automation using Terraform, Helm or similar tools.
• Strong understanding of application and infrastructure security.
• Experience implementing API security (OAuth2, OIDC, JWT, RBAC).
• Familiarity with container and Kubernetes security best practices.
• Knowledge of OWASP Top 10, vulnerability scanning and secure coding standards.
• Ability to collaborate with security teams on compliance and risk mitigation.
• Strong problem‑solving skills and attention to detail.
• Excellent communication and collaboration skills in a global delivery environment.
• Customer‑centric mindset with ownership and accountability.
• Demonstrated alignment with positive values, culture and ethical standards.
• Willingness to mentor junior engineers and contribute to continuous improvement.
• Experience working in large‑scale enterprise or regulated environments.
• Exposure to cloud platforms (Azure, AWS or GCP) alongside…