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AI Product Engineer with 3+ years of experience building LLM-powered applications, RAG systems, and AI agents using Python, FastAPI, LangChain, and OpenAI APIs. I deliver production-ready solutions with AWS, Docker, CI/CD, and MLOps to enable intelligent automation and scalable customer-facing products. Experienced across insurance and enterprise technology, I focus on knowledge retrieval, prompt/retrieval optimization, evaluation/observability, and secure, reliable deployments for high-volume workflows and real-world impact.…AI Product Engineer with 3+ years of experience building LLM-powered applications, RAG systems, and AI agents using Python, FastAPI, LangChain, and OpenAI APIs. I deliver production-ready solutions with AWS, Docker, CI/CD, and MLOps to enable intelligent automation and scalable customer-facing products. Experienced across insurance and enterprise technology, I focus on knowledge retrieval, prompt/retrieval optimization, evaluation/observability, and secure, reliable deployments for high-volume workflows and real-world impact.

Manish Katheeth

AI Engineer, Full Stack Developer, Back-End Developer, +5

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AI Product Engineer with 3+ years of experience building LLM-powered applications, RAG systems, and AI agents using Python, FastAPI, LangChain, and OpenAI APIs. I deliver production-ready solutions with AWS, Docker, CI/CD, and MLOps to enable intelligent automation and scalable customer-facing products. Experienced across insurance and enterprise technology, I focus on knowledge retrieval, prompt/retrieval optimization, evaluation/observability, and secure, reliable deployments for high-volume workflows and real-world impact.…AI Product Engineer with 3+ years of experience building LLM-powered applications, RAG systems, and AI agents using Python, FastAPI, LangChain, and OpenAI APIs. I deliver production-ready solutions with AWS, Docker, CI/CD, and MLOps to enable intelligent automation and scalable customer-facing products. Experienced across insurance and enterprise technology, I focus on knowledge retrieval, prompt/retrieval optimization, evaluation/observability, and secure, reliable deployments for high-volume workflows and real-world impact.

Available to hire

AI Product Engineer with 3+ years of experience building LLM-powered applications, RAG systems, and AI agents using Python, FastAPI, LangChain, and OpenAI APIs. I deliver production-ready solutions with AWS, Docker, CI/CD, and MLOps to enable intelligent automation and scalable customer-facing products.

Experienced across insurance and enterprise technology, I focus on knowledge retrieval, prompt/retrieval optimization, evaluation/observability, and secure, reliable deployments for high-volume workflows and real-world impact.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

AI Product Engineer at Liberty Mutual

March 1, 2026 - Present

Shipped LLM-powered insurance product features using Python, FastAPI, LangChain, Apache Kafka, and Agentic AI workflows, automating policy servicing and claims operations across platforms processing 3.2M+ transactions. Built RAG solutions leveraging OpenAI APIs, Vector Databases, PostgreSQL, Embeddings, and Semantic Search, enabling claims and underwriting teams to retrieve policy knowledge in natural language while reducing manual document review by 140 hours monthly. Enhanced AI application performance through Prompt Engineering, Semantic Caching, Response Streaming, and retrieval optimization techniques, improving response consistency and user experience across high-volume customer-facing insurance applications. Implemented MLOps deployment frameworks using Docker, GitHub Actions, AWS SageMaker, CI/CD Pipelines, automated evaluations, and model validation controls, strengthening release reliability and identifying 42 platform vulnerabilities prior to production deployment.

Software Developer at Dell Technologies

November 1, 2020 - December 1, 2023

Developed backend enterprise applications using Python, FastAPI and REST APIs, implementing service-layer processing and asynchronous workflows to support 300K+ operational transactions monthly across internal infrastructure platforms. Engineered scalable data processing modules using Pandas, SQL, and Apache Kafka, enabling real-time ingestion and transformation of 650K+ operational events daily across enterprise monitoring systems. Constructed responsive frontend interfaces using React.js, TypeScript, HTML5, and CSS3, delivering reusable dashboard components supporting operational visibility for 40K+ enterprise infrastructure assets across global support environments. Integrated AI-assisted workflow automation using OpenAI APIs, Prompt Engineering, NLP pipelines, and semantic search services, reducing manual incident categorization effort by 19 hours monthly across enterprise support operations. Implemented anomaly detection workflows using Scikit-learn, feature engineering, predictiv