GenAI Developer
Key Skills for This Role
Full Job Posting
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.
- ok
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
- 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 Storage
- Programming
- Python (Advanced)
- FastAPI
- Flask
- REST API Development
- Async Programming
- AI Frameworks & Libraries
- LangChain
- LlamaIndex
- PyMuPDF
- FAISS Vector Database
- Vision LLMs
- OpenAI SDK
- Development Tools
- Visual Studio Code (VS Code)
- PyCharm
- Git
- GitHub/Azure DevOps
- Docker
- Observability & Evaluation
- Opik
- Prompt evaluation
- LLM monitoring
- Experiment tracking
- Performance benchmarking
- Qualifications
- ok
- Responsibilities
Preferred Qualifications
- Azure Cognitive Search (preferred)
- Azure Functions (preferred)
- Transformers (preferred)
- Nice-to-Have Skills
About Zensar
Global technology firm providing digital transformation and infrastructure services.
Visit company websiteJobs and hiring trendsApply for this job in 1 click
Skip the repetitive application forms
Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.
Trusted by over 500,000 job seekers on Base Career
More from this employer
More jobs at Zensar
Angular
, IND
Frontend: Angular 21 (TypeScript, standalone components, signals, deferred views); RxJS; NgRx/Redux (store, effects, selectors); Angular CLI • UI / Design System: Bespoke Angular component library; Angular Material/CDK;
AES - DE - DevOps - AWS DevOps
Pune, IND
Key Responsibilities Design and implement CI/CD pipelines for AI solutions. Automate infrastructure provisioning using Terraform or Bicep. Manage AI environment deployments across dev, test, and production. Implement mon
Digital Product Owner - B2B
Bengaluru, IND
Backlog Ownership: Own and maintain a single, prioritized product backlog for B2B Commerce and supporting sales tools. Author well-structured epics and user stories with clear acceptance criteria, success metrics, and te
ESaaS - MSD -Functional - D365 ERP Product Owner/Scrum Master
Bengaluru, IND
Product & Agile Skills Product ownership / product management roles Backlog management and prioritization User story definition and acceptance criteria Roadmap planning and release management Agile delivery frameworks (S
DE&A - Core - Advanced Visualization & Cloud Reporting - Azure Analysis Services
Pune, IND
Job Title: Data Platform Engineer (Infrastructure & Data Engineering) Purpose Support the design, build, and operation of the Data Platform, blending infrastructure engineering with data engineering practices to keep the
Senior Manager - Infrastructure Governance & Asset Lifecycle Management
Chennai, IND
Angular
, IND
AES - DE - DevOps - AWS DevOps
Pune, IND
Digital Product Owner - B2B
Bengaluru, IND
ESaaS - MSD -Functional - D365 ERP Product Owner/Scrum Master
Bengaluru, IND
ControlUp SME / Engineer
Pune, IND
DE&A - Core - Advanced Visualization & Cloud Reporting - Azure Analysis Services
Pune, IND
Senior Manager - Infrastructure Governance & Asset Lifecycle Management
Chennai, IND
Salesforce Operations Analyst
Pune, IND