Job Description

Key Responsibilities

• Design, develop, and deploy enterprise Generative AI applications using Azure OpenAI Services.
• Build Retrieval-Augmented Generation (RAG) pipelines using embeddings and vector databases.
• Develop scalable REST APIs using FastAPI and Flask.
• Integrate Vision LLMs for image, document, and multimodal understanding.
• Build document processing pipelines using PyMuPDF for PDF extraction, parsing, and preprocessing.
• Implement semantic search using FAISS Vector Database.
• Engineer prompts and optimize LLM responses for enterprise use cases.
• Develop AI-powered chatbots, document Q&A, summarization, and intelligent automation solutions.
• Optimize AI models for latency, scalability, and cost efficiency.
• Integrate AI solutions with enterprise applications and cloud services.
• Implement monitoring, evaluation, and experimentation frameworks using Opik or similar LLM observability tools.
• Collaborate with product managers, architects, data scientists, and software engineers to deliver AI solutions.
• Ensure AI applications follow security, governance, and responsible AI best practices.

Required Skills

Generative AI

• Large Language Models (LLMs)
• Prompt Engineering
• Retrieval-Augmented Generation (RAG)
• Embeddings
• Semantic Search
• AI Agents
• Function Calling
• Context Management
• Model Evaluation

Cloud & AI Platforms

• Azure OpenAI Service
• Azure AI Services
• Azure Cognitive Search (preferred)
• Azure Storage
• Azure Functions (preferred)

Programming

• Python (Advanced)
• FastAPI
• Flask
• REST API Development
• Async Programming

AI Frameworks & Libraries

• LangChain
• LlamaIndex
• PyMuPDF
• FAISS Vector Database
• Vision LLMs
• OpenAI SDK
• Transformers (preferred)

Development Tools

• Visual Studio Code (VS Code)
• PyCharm
• Git
• GitHub/Azure DevOps
• Docker

Observability & Evaluation

• Opik
• Prompt evaluation
• LLM monitoring
• Experiment tracking
• Performance benchmarking

Required Experience

• 5–10 years of software development experience with strong Python expertise.
• Minimum 2–4 years of hands-on experience in Generative AI and LLM-based application development.
• Experience implementing enterprise RAG architectures.
• Strong experience with Azure OpenAI.
• Experience integrating Vision LLMs for document and image processing.
• Hands-on experience with vector databases such as FAISS.
• Experience building production-ready AI APIs using FastAPI or Flask.
• Experience processing large PDF/document repositories using PyMuPDF.
• Experience with AI evaluation and observability tools such as Opik.
• Experience deploying AI applications in cloud environments.

Nice-to-Have Skills

• LangGraph
• AutoGen/CrewAI
• Azure AI Search
• Cosmos DB
• PostgreSQL
• Redis
• Kubernetes
• MLflow
• Hugging Face
• OCR (Azure Document Intelligence, Tesseract)
• CI/CD pipelines
• MLOps

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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.