Gen AI Technical Leader

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