Software Engineer (AI)

Responsibilities

You will design and build custom AI platforms, including AI agents and controls, while deploying them into client environments. Additionally, you will work alongside client teams to integrate these platforms and adapt them to specific business needs.

Requirements

Candidates must have a strong background in Python, cloud infrastructure, and AI model development, along with a degree in Computer Science or a related field. You should possess practical experience with APIs, containerization, and modern software development practices.

Skills

• Python
• TypeScript
• JavaScript
• APIs
• SQL
• Linux
• Docker
• Git
• GitHub
• Cloud computing
• Large language models
• React
• FastAPI
• Kubernetes
• Terraform
• CI/CD

Benefits

• Medical
• Dental
• Vision
• 401(k)

About this role

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 Development in
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 othe...

About Zensar

IT Services and IT Consulting · 10,001+ employees · headquartered in Pune, Maharashtra · founded 2001