Lead AI Engineer

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: Lead AI Engineer Job Location: All Persistent Locations Experience: 8+ 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 Values-Driven, People-Centric & Inclusive Work Environment: Persistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.

We support hybrid work and flexible hours to fit diverse lifestyles. Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities. If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment Let's unleash your full potential at Persistent - persistent.com/careers "Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind."