We are seeking an AI Developer with hands-on experience in Agentic AI, Machine Learning, Deep

Learning, and LLM-based systems to build and deploy intelligent solutions for insurance use cases

such as claims processing, underwriting, policy servicing, fraud detection, and customer support

automation.

Key Responsibilities

* Develop and enhance agent-based AI systems (single and multi-agent)

* Build and maintain RAG pipelines using LLMs and vector databases for policy, claims, and

regulatory data.

* Implement Machine Learning and Deep Learning models for prediction, classification, and

anomaly detection.

* Develop Intelligent Document Processing (IDP) solutions for:

o Claims documents

o Policy forms

o KYC and supporting documents

* Integrate LLMs (OpenAI, Azure OpenAI, Anthropic, open-source models) with business

applications.

* Implement agent workflows using frameworks such as LangGraph, CrewAI, Azure AI

Foundry, or Microsoft Agent Framework.

* Deploy and support AI services in cloud environments (Azure/AWS/GCP).

* Implement logging, monitoring, validation,



and basic AI safety controls.

* Collaborate with product, data, and engineering teams to deliver insurance AI solutions.

Required Skills (ATS / Resume Keywords)

Core AI & LLM

* Agentic AI, AI Agents, Multi-Agent Systems

* LLMs, Prompt Engineering, Function Calling

* RAG (Retrieval-Augmented Generation)

* Vector Databases (Pinecone, FAISS, Chroma, Azure AI Search)

Machine Learning & Deep Learning

* Machine Learning, Supervised / Unsupervised Learning

* Deep Learning, Neural Networks

* PyTorch, TensorFlow, scikit-learn

* Model training, evaluation, tuning

IDP & Insurance

* Intelligent Document Processing (IDP)

* OCR, Document Classification, Data Extraction

* Claims Automation, Underwriting Automation

* Fraud Detection, Policy Analysis

Engineering & Cloud

* Python

* REST APIs, Microservices

* Cloud (Azure / AWS / GCP)

* Docker, CI/CD

* Monitoring & Logging

📌 Gen AI – Module Leader (India)
🏢 Sparix Global
📍 India