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