Generative AI Engineer / AI Application Developer

Job Summary

We are looking for a skilled Generative AI Engineer with experience in building AI-powered applications using Large Language Models (LLMs), modern AI frameworks, and cloud technologies. The ideal candidate will have a strong software engineering background combined with hands-on expertise in Generative AI, prompt engineering, agentic AI frameworks, and enterprise-grade AI solution development.

Key Responsibilities

- Design, develop, and deploy AI-powered applications leveraging Large Language Models (LLMs) and Generative AI technologies.
- Build intelligent workflows and AI agents using frameworks such as LangChain, Semantic Kernel, LlamaIndex, AutoGen, and LangGraph.
- Develop and optimize prompts, Retrieval-Augmented Generation (RAG) solutions, and conversational AI applications.
- Integrate AI capabilities with enterprise systems through REST APIs, microservices, and cloud-native architectures.
- Design and implement vector search solutions using databases such as Pinecone, Chroma, FAISS, Weaviate, or Azure AI Search.
- Develop and deploy AI solutions using Azure OpenAI, OpenAI APIs, and other AI platforms.
- Collaborate with cross-functional teams to translate business requirements into scalable AI solutions.
- Ensure adherence to Responsible AI, model governance, security, privacy, and compliance standards.




- Monitor, evaluate, and enhance AI model performance, accuracy, and reliability.
- Participate in Agile ceremonies, sprint planning, code reviews, and knowledge-sharing sessions.

Required Skills & Qualifications

- Bachelor's or Master's degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, or a related field.
- 3+ years of software development experience with at least 1+ year of hands-on experience in Generative AI technologies.
- Strong programming skills in Python, JavaScript, C#, or Java.
- Hands-on experience with Large Language Models (LLMs), prompt engineering, RAG, and AI application development.
- Experience with AI frameworks such as LangChain, Semantic Kernel, LlamaIndex, AutoGen, or LangGraph.
- Solid understanding of REST APIs, Microservices Architecture, and cloud-native application development.
- Experience with vector databases including Pinecone, Chroma, FAISS, Weaviate, or Azure AI Search.
- Hands-on experience with Azure OpenAI, OpenAI APIs, or equivalent Generative AI platforms.
- Knowledge of AI governance, responsible AI practices, AI security, and model lifecycle management.
- Strong analytical, problem-solving, and communication skills.
- Experience working in Agile/Scrum environments.

📌 Gen AI Engineer (Hyderabad)
🏢 Zensar
📍 Hyderabad