AI Engineer

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 AI Engineer. This position is open for Full Time with excellent benefits and professional growth opportunities

Job Description:

As a AI Engineer – Agentic AI, you will operate as a senior individual contributor within Technology, helping define how agentic AI systems are designed, built, and operated across the company.

You will work at the intersection of agentic system architecture and hands-on execution: designing core frameworks, writing production code, reviewing critical designs, and guiding teams through complex technical decisions. This role does not include people management; your impact comes from technical leadership, sound judgment, and the ability to turn ambiguity into reliable, scalable agentic systems.

You will work closely with Product and UX partners to shape a shared vision for agentic AI experiences. While product teams own prioritization, Engineers are expected to actively influence what gets built and how agentic systems come together across teams. This is an individual contributor, hands-on, deeply technical role with broad architectural ownership and high organizational impact; however, as the team grows, you will take on increasing responsibility for technical leadership and people development within the agentic AI space.

What You’ll Do

• Drive technical direction for agentic AI initiatives, influencing architecture patterns, autonomy boundaries, and system design.

• Design, build, and operate production-grade agentic AI systems used across multiple products.

• Own and evolve shared agentic AI capabilities, including:

•Agent frameworks and orchestration layers

•Planning, tool use, and memory strategies

•Retrieval and grounding (RAG) pipelines

•LLM infrastructure, inference, and model gateways

•Evaluation, observability, and safety tooling for autonomous systems

• Lead technical design reviews and help teams navigate tradeoffs involving autonomy, safety, reliability, scalability, and cost.

• Partner across teams to deliver complex, cross-cutting agentic AI initiatives from concept to production.

• Evaluate emerging models, techniques, and agentic patterns and translate them into practical, enterprise-ready improvements.

•Mentor senior engineers and raise the technical bar for agentic AI development through example and influence.

Technical Environment

We don’t hire to a narrow checklist, but candidates should be comfortable operating in a modern, enterprise-scale engineering environment with a strong emphasis on agentic AI.

Core engineering stack

•Languages: TypeScript, Python, Go

• APIs and services: REST, gRPC

•Cloud and infrastructure: AWS and/or GCP, Kubernetes

•Distributed systems: event-driven architectures, including Kafka

•Orchestration Frameworks: LangGraph, LangChain, AirFlow, etc

Agentic AI and ML

• Integration of commercial and open-source LLMs into agentic workflows

• Agent and orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, or CrewAI, with strong judgment about when to use frameworks versus building lighter-weight primitives

• Model-level work using PyTorch and the Hugging Face ecosystem (embeddings, fine-tuning, inference tooling), with some exposure to TensorFlow

• Strong schema, validation, and state management practices using tools such as Pydantic (Python) and Zod (TypeScript)

Across all systems, we emphasize evaluation, observability, safety, and reliability, reflecting the responsibility of deploying autonomous AI in a regulated, customer-facing environment.

What We’re Looking For

• 10\+ years of experience building large-scale distributed systems \+ strong experience with LLM systems, agentic workflows or advanced ML infrastructure

•Proven ownership of complex, cross-cutting agentic systems spanning multiple teams or products.

•Strong engineering fundamentals across backend systems, APIs, data pipelines, and cloud infrastructure.

• Deep experience across the agentic AI stack, including planning, tool use, memory, and evaluation.

• Fluency with AI-assisted and agentic development workflows.

•Comfort operating in ambiguous problem spaces and translating them into shipped, reliable autonomous systems.

• Ability to influence technical direction and align teams without formal authority.

•Experience in workflow engines, async processing, queues, and streaming systems.

Preferred Qualifications

• Experience building agentic systems in fintech or other regulated industries.

• Experience as a founding engineer or early technical leader in AI-driven products.

• Demonstrated success delivering technically complex autonomous systems that customers actively rely on.

• Meaningful contributions to open-source AI or agentic frameworks.

• Familiarity with fine-tuning, model optimization and inference pipelines is a plus

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