Sr. AI Engineer

About the job

About Position: We are seeking a skilled GenAI & Agentic AI Engineer with strong experience in building end‑to‑end AI/ML solutions, Generative AI applications, and agent‑based automation workflows. The ideal candidate will have a solid background in machine learning along with hands‑on expertise in LLMs, RAG, embeddings, vector databases, and Agentic AI frameworks such as CrewAI, AutoGen, LangGraph, or LangChain Agents. • Role: Sr. AI Engineer • Job Location: Pune, Bangalore, Noida, Hyderabad • Experience: 5+ Years • Job Type: Full Time Employment What You'll Do: • Build and deploy GenAI applications using LLMs (OpenAI, Azure OpenAI, Claude, Gemini, Llama, etc.). • Develop Agentic AI workflows using frameworks such as CrewAI, AutoGen, LangGraph, or LangChain Agents. • Design and implement RAG pipelines, vector search solutions, and embedding-based retrieval systems. • Build scalable AI services using Python, FastAPI/Flask, and cloud platforms (Azure/AWS/GCP). • Collaborate with cross‑functional teams to define use cases and convert them into production‑ready GenAI solutions. • Implement hallucination reduction, prompt-engineering strategies, and model evaluation methods. • Integrate LLMs with enterprise applications, APIs, and automation workflows. • Work with vector databases (FAISS, Pinecone, Chroma, Weaviate) for semantic search. • Monitor, evaluate, and optimize GenAI models for accuracy, performance, and cost. Expertise You'll Bring: • 5+ years of experience in AI/ML, including model development, data preprocessing, EDA, training, and evaluation. • 2+ years of hands-on experience in Generative AI (LLMs, embeddings, RAG, LLM-based apps). • 6+ months of hands-on experience with Agentic AI frameworks (CrewAI / AutoGen / LangGraph / LangChain Agents). • Strong proficiency in Python and ML libraries (Scikit-learn, Pandas, NumPy). • Experience with OpenAI APIs, Azure OpenAI, HuggingFace, and prompt engineering. • Familiarity with building scalable APIs using FastAPI, Flask, or Django. • Hands-on knowledge of cloud services (Azure/AWS/GCP) for AI deployment. • Strong understanding of REST APIs, microservices, and integration patterns. • Experience with Git, CI/CD, Docker, and model deployment best practices. Benefits: • Competitive salary and benefits package. • Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications. • Opportunity to work with cutting-edge technologies. • Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards. • Annual health check-ups. • Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents.

Requirements

• GenAI
• Agentic AI
• Machine Learning
• Python
• Cloud Platforms

Qualifications

• Bachelor’s degree in Computer Science or related field
• 5+ years of experience in AI/ML

Preferred Technologies

• GenAI
• Agentic AI
• Machine Learning
• Python
• Cloud Platforms

Benefits

• Competitive salary and benefits package
• Culture focused on talent development
• Opportunity to work with cutting-edge technologies

About the company

Persistent Systems is a global company that provides innovative solutions in software development, IT services, and business consulting, focusing on digital transformation.