Graduate Software Engineer
Zensar
Graduate Software Engineer
Zensar
Global IT services for digital transformation
Why Zensar?
We’re a bunch of hardworking, fun-loving, people-oriented technology enthusiasts. We love what we do, and we’re passionate about helping our clients thrive in an increasingly complex digital world. Zensar is an organization focused on building relationships with our clients and with each other—and happiness is at the core of everything we do. In fact, we’re so into happiness that we’ve created a Global Happiness Council, and we send out a Happiness Survey to our employees each year. We’ve learned that employee happiness requires more than a competitive paycheck, and our employee value proposition—grow, own, achieve, learn (GOAL)—lays out the core opportunities we seek to foster for every employee. Teamwork and collaboration are critical to Zensar’s mission and success, and our teams work on a diverse and challenging mix of technologies across a broad industry spectrum. These industries include banking and financial services, high-tech and manufacturing, healthcare, insurance, retail, and consumer services. Our employees enjoy flexible work arrangements and a competitive benefits package, including medical, dental, vision, 401(k), among other benefits. If you are looking for a place to have an immediate impact, to grow and contribute, where we work hard, play hard, and support each other, consider joining team Zensar!
Zensar is looking for a Graduate Software Engineer - AI Platform Developmentin the United States (San Jose, CA – 100% Onsite/Hybrid). This position is open for Full Time with excellent benefits and professional growth opportunities.
About the Role
You will join Zensar's AI Platform Development team.
We design and build custom AI platforms, for our own use and for our clients, and deploy them on any major cloud or in a client's own environment.
The work needs a real understanding of how AI models, agents and decision models work, and the engineering to make them dependable.
Engineers work in two modes: building platforms with the team, and working forward deployed with clients to put them into their environments.
Build features end to end; services and APIs, web interfaces, data and tests.
Build AI agents and the controls around them: prompts, tools, retrieval, evaluations, human approval and audit trails.
Understand the roadmap, propose new features, and take them from idea to release.
Work with AI coding assistants every day: write clear specifications, review what they produce, own the result.
Deploy platforms into a client's cloud or data centre and integrate them with the client's systems and APIs.
Work alongside client teams, adapt the platform to their needs, and bring what you learn back into the product.
Run demos, pilots and handovers; explain technical choices to engineers and managers alike.
Key Responsibilities:
Build the platforms
Build features end to end: services and APIs, web interfaces, data and tests.
Build AI agents and the controls around them: prompts, tools, retrieval, evaluations, human approval and audit trails.
Understand the roadmap, propose new features, and take them from idea to release.
Work with AI coding assistants every day: write clear specifications, review what they produce, own the result.
Work forward deployed with clients
Deploy platforms into a client's cloud or data centre and integrate them with the client's systems and APIs.
Work alongside client teams, adapt the platform to their needs, and bring what you learn back into the product.
Run demos, pilots and handovers; explain technical choices to engineers and managers alike.
Must have skills:
Strong Python, plus TypeScript or JavaScript.
APIs (HTTP, REST, JSON, OAuth basics) and SQL databases.
Linux, the shell, Docker, Git and GitHub.
Cloud skills that travel: compute, storage, networking, identity and infrastructure as code on at least one of AWS, Azure, Google Cloud or Oracle Cloud, and ready to work
How AI models work: large language models, embeddings, prompting, fine-tuning basics, and their limits.
How agents work: planning, tool use, memory and retrieval; has built at least one.
How decision models work: rules, scoring and machine learning classifiers, and how to evaluate and explain them.
Clear with clients; willing to work at client sites and travel
React; FastAPI or a similar framework.
Kubernetes, Terraform, CI/CD pipelines.
Agent frameworks and protocols (LangGraph, MCP), vector search, knowledge graphs.
Evaluating model outputs: test sets, metrics, red-teaming.
Networking and systems basics: DNS, TLS, load balancers, monitoring.
Security basics: OWASP Top 10, secrets management.
A cloud certification from any provider; internships, open-source work, hackathons, or a project other people actually used.
A BS or MS in Computer Science, Computer Engineering or a related field from a strong US university, graduating in 2025 or 2026, with a strong academic record.
Builders: a GitHub profile or portfolio with real projects, not only coursework.
Clear writers: can explain a design on one page and a decision in one paragraph.
People who own outcomes, learn fast, are comfortable with open problems, and can switch between building the platform and working with a client's team on any of them when needed.
Nice to have skills:
React; FastAPI or a similar framework.
Kubernetes, Terraform, CI/CD pipelines.
Agent frameworks and protocols (LangGraph, MCP), vector search, knowledge graphs.
Evaluating model outputs: test sets, metrics, red-teaming.
Networking and systems basics: DNS, TLS, load balancers, monitoring.
Security basics: OWASP Top 10, secrets management.
A cloud certification from any provider; internships, open-source work, hackathons, or a project other people actually used.
Education:
A BS or MS in Computer Science, Computer Engineering or a related field from a strong US university.
Zensar believes that diversity of backgrounds, thought, experience, and expertise fosters the robust exchange of ideas that enables the highest quality collaboration and work product. Zensar is an equal opportunity employer. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Zensar is committed to providing veteran employment opportunities to our service men and women. Zensar is committed to providing equal employment opportunities for people with disabilities or religious observances, including reasonable accommodation when needed. Accommodation made to facilitate the recruiting process are not a guarantee of future or continued accommodation once hired.
All applicants must be legally authorized to work with Zensar. Visa sponsorship may be available for qualified applicants for certain positions.
Zensar values your privacy. We’ll use your data in accordance with our privacy statement located at: https://zensar.com/privacy-notice
Digital solutions and IT services company that partners with global organizations to drive digital transformation. Its offerings include intelligent automation, analytics, hyperconverged infrastructure, and digital application development and maintenance, delivered through long-term contracts, project-based engagements, and managed services. Indigo Slate handles virtual event creation. Zensar’s Living AI integrates artificial intelligence into business processes to boost outcomes. Unlike many competitors, it emphasizes reducing capital expenditure (Capex) and operating expenditure (Opex), simplifying vendor management, and improving efficiency through automation. The overall goal is to help clients adapt to the digital landscape, optimize technology infrastructure, and achieve higher operational efficiency.
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