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