Generative AI Engineer

We are looking for a hands-on Generative AI Engineer to design, build, and deploy production-grade GenAI solutions. In this role, you will develop Retrieval-Augmented Generation (RAG) pipelines, build Agentic AI workflows using modern frameworks, and leverage graph databases such as Neo4j to power knowledge-grounded reasoning. You will collaborate closely with senior engineers, data scientists, and product teams to translate business problems into scalable, reliable AI systems.

At Zensar, we're "experience-led everything". We are committed to conceptualizing, designing, engineering, marketing, and managing digital solutions and experiences for over 130 leading enterprises. We are a company driven by a bold purpose: Together, we shape experiences for better futures. Whether for our clients, our people, or the world around us, this belief powers everything we do. At the heart of our culture is ONE with Client - a set of four core values that reflect who we are and how we work: One Zensar, Nurturing, Empowering, and Client Focus.

Part of the $4.8 billion RPG Group, we're a community of 10,000+ innovators across 30+ global locations, including Milpitas, Seattle, Princeton, Cape Town, London, Zurich, Singapore, and Mexico City. Explore Life at Zensar and join us to Grow. Own. Achieve. Learn. to be the best version of yourself.

We believe the best work happens when individuality is celebrated, growth is encouraged, and well-being is prioritized. We are an equal employment opportunity (EEO) and affirmative action employer, committed to creating an inclusive workplace. All qualified applicants will be considered without regard to race, creed, color, ancestry, religion, sex, national origin, citizenship, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veteran status.

Required Technical Skills

- Generative AI and LLMs (OpenAI, Claude, Llama, etc.)

- RAG pipelines and vector databases

- Agentic AI tools (LangChain, AutoGen, etc.)

- Neo4j and graph databases

- Python, APIs, PyTorch/TensorFlow

- Cloud platforms (AWS, Azure, GCP), Docker, CI/CD

Experience & Qualifications

- 3-4 years AI/software experience

- Degree in Computer Science or related field

- Strong communication and problem-solving skills

Nice-to-Haves

- GraphRAG experience

- Fine-tuning (LoRA/QLoRA)

- Multi-modal AI

- Certifications (AWS, Azure, GCP)

- RAG Pipelines: Design and implement end-to-end Retrieval-Augmented Generation systems including chunking strategies, embedding models, vector stores, hybrid search, and re-ranking.

- Agentic AI Development: Build autonomous and multi-agent AI workflows using frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or Semantic Kernel.

- Knowledge Graphs: Model and query knowledge graphs using Neo4j and integrate GraphRAG with LLM pipelines.

- LLM Integration: Integrate and fine-tune LLMs using prompt engineering and structured outputs.

- Deployment & MLOps: Deploy GenAI services on AWS, Azure, or GCP with monitoring and scaling.

- Responsible AI: Apply guardrails to mitigate hallucinations, bias, and data leakage.

- Collaboration: Work with cross-functional teams and communicate technical insights.