Zensar Technologies
From Zensar Technologies's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
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.
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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