Agentic 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: GenAI/Agentic AI Engineer
• Job Location: All Persistent location
• 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:

• 5–10+ years of experience in Python-based backend engineering, AI/ML, and enterprise-grade system development.
• Strong hands-on expertise in Generative AI, LLMs, RAG pipelines, and Agentic frameworks such as LangChain, LangGraph, ADK, and similar.
• Design, build, and scale production-ready AI services, APIs, workflows, and agent-based automation using FastAPI/Flask.
• Experience integrating LLMs (OpenAI, Azure OpenAI, Claude, etc.), vector databases, and embeddings for enterprise use cases.
• Strong understanding of distributed systems, async processing, workflows, Kafka/queues, and backend scalability.
• Hands-on exposure to cloud platforms (Azure/AWS/GCP), CI/CD, and MLOps/LLMOps practices.
• Ability to own end-to-end solution design, from architecture to deployment and monitoring.
• Experience working in Agile delivery models, collaborating with product, architecture, and platform teams.
• Exposure to regulated or enterprise domains (e.g., Banking/KYC/Onboarding) is a plus.

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 Ltd. 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.