GenAI/Agentic AI Engineer
Job in
India, Henry County, Tennessee, USA
Listed on 2026-06-02
Listing for:
Persistent Systems, Inc.
Full Time
position Listed on 2026-06-02
Job specializations:
-
Software Development
AI Engineer, Machine Learning/ ML Engineer, Cloud Engineer - Software
Job Description & How to Apply Below
About Persistent
We are an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what's next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world, including 20 Fortune 50 companies and 4 of the 5 top banks in both the US and India, and numerous innovators across the healthcare ecosystem.
Our disruptor's mindset, commitment to client success, and agility to thrive in the dynamic environment have enabled us to sustain our growth momentum. Persistent has been recognized across top industry platforms for innovation, leadership, and inclusion. We reported $1,654.4M FY26 revenue with 17.4% Y-o-Y growth. We have delivered 24 sequential quarters of growth with $436.0M in Q4 FY26 revenue, up 3.2% Q-o-Q and 16.2% Y-o-Y growth.
Our 27,500+ global team members, located in 18 countries, have been instrumental in helping the market leaders transform their industries. We have been recognized as the Fastest Growing IT Services Brand Globally in the 2026 Brand Finance IT Services 25 Report. We named a Leader in the Everest Group Private Equity (PE) Services PEAK Matrix Assessment 2026 and Software Product Engineering PEAK Matrix Assessment 2026.
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, Auto Gen, Lang Graph, or Lang Chain 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, Auto Gen, Lang Graph, or Lang Chain 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 Lang Chain, Lang Graph, 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…
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