1 Opening
Austin
Role description
Lead Software Developer – Python, AI, Data science, UI, DevOps
ML Engineer I
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.
With us, you’ll create a boundless impact that transforms your career—and the lives of people across the world.
Visit us at UST.com.
You Are:
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.
The opportunity:
- 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 DevOps 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.
This position description identifies the responsibilities and tasks typically associated with the performance of the position. Other relevant essential functions may be required.
What you need:
- 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 optimization.
- Experience with SQL and NoSQL databases (PostgreSQL, MySQL, MongoDB, Redis).
- Experience developing and integrating AI/ML solutions into production systems.
- Hands-on exposure to machine learning frameworks such as PyTorch, TensorFlow, 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 TypeScript, RxJS, component-based architecture, and state management.
- Ability to integrate UI with secure backend APIs.
- Familiarity with responsive UI design, accessibility standards, and performance optimization.
- Hands-on experience with Docker and containerization best practices.
- Strong expertise in Kubernetes on Bare Metal (KOB), including:
- Cluster setup, upgrades, and troubleshooting
- Networking (CNI), storage (CSI), and ingress configurations
- High availability and fault tolerance
- Experience with CI/CD pipelines (Azure DevOps, GitHub Actions, GitLab 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.
- Exposure to cloud platforms (Azure, AWS, or GCP) alongside on-prem/bare-metal deployments.
- Knowledge of service mesh, API gateways, or zero-trust architecture.
- Experience with SRE practices, SLAs/SLOs, and reliability engineering.
- Proficiency in project management tools like JIRA, Service Now
- Ability to manage, motivate, and direct cross-functional teams effectively.
- Excellent written and oral communication, presentation, and stakeholder management skills.
- Flexibility to adapt to challenges and work in periods of ambiguity, converting them into structured direction.
- Typically requires 10+ years of related experience in a professional role with a Masters degree or PhD in computer science or Data Science or AI related fields.
Compensation can differ depending on factors including but not limited to the specific office location, role, skill set, education, and level of experience. UST provides a reasonable range of compensation for roles