We are seeking a highly skilled AI Engineer to design, develop, and deploy intelligent AI-powered solutions using Large Language Models (LLMs), AI Agents, Retrieval Augmented Generation (RAG), and vector databases. The ideal candidate will have hands-on experience building production-grade AI applications in Python and implementing scalable AI workflows that solve real-world business challenges.

Key Responsibilities
Design and develop AI-powered applications using Large Language Models (LLMs) and Generative AI technologies.
Build and orchestrate AI Agent workflows for complex business processes and task automation.
Develop AI verification and evaluation frameworks to ensure reliability, accuracy, safety, and governance of AI systems.
Design and implement Retrieval Augmented Generation (RAG) pipelines for enterprise knowledge management and search use cases.
Develop backend services and AI integrations using Python.
Implement and optimize vector search solutions using PG Vector and other vector databases.
Integrate AI solutions with enterprise applications, APIs,



and data platforms.
Fine-tune prompts, optimize model performance, and improve response quality.
Monitor, troubleshoot, and enhance deployed AI applications to ensure scalability and performance.
Collaborate with product managers, architects, and business stakeholders to translate business requirements into AI-driven solutions.
Stay updated with emerging AI, GenAI, Agentic AI, and LLM technologies.

Required Skills

Technical Skills
Solid proficiency in Python development.
Experience with LLM application development using OpenAI, Azure OpenAI, Anthropic, Gemini, or open-source models.
Hands-on experience building AI Agents and multi-agent workflows.
Expertise in RAG architecture, document ingestion, chunking strategies, embeddings, and retrieval optimization.
Experience with PG Vector and vector similarity search.
Knowledge of prompt engineering and model evaluation techni

📌 Data Engineer 1630 Pune
🏢 Nitor
📍 Pune