Python Developer

Role: Python Developer



Type: Contract



work location: Iselin, NJ (hybrid)



In-person interviews can be attended in Iselin, NJ, Dallas TX or Charlotte, NC



Candidates must be comfortable with in-person interviews



Pay rate: $60-$64/hr



Exp:- 8+ years


Job Description:



Role: Python Developer (Pure Python experience is acceptable; Gen AI experience is not mandatory)


Location & Interview:

• work location: Iselin, NJ (hybrid)
• In-person interviews can be attended in Iselin, NJ, Dallas TX or Charlotte, NC
• Candidates must be comfortable with in-person interviews

Project Overview
The Smart Integrations initiative is an AI-driven program within Fraud & Claims Management focused on intelligent workflow orchestration, application integration, and establishing a scalable foundation for Agentic AI capabilities.

Key Responsibilities

• Design and develop Python-based services and integration components .
• Develop AI-enabled workflows and intelligent orchestration capabilities.
• Integrate LLM/GenAI components with enterprise applications through APIs.
• Develop and support Agentic AI workflows , tool integrations, and service orchestration.
• Build reusable Python APIs and backend services.
• Integrate with Java microservices and other enterprise platforms.
• Support POC maturation and validation within the enterprise environment.
• Participate in end-to-end integration testing, troubleshooting, and stabilization.
• Work with containerized deployments and CI/CD pipelines.
• Support production readiness, monitoring, and operationalization of AI-enabled services.

Required Skills

• Strong hands-on Python development
• REST API development and integration
• Python backend frameworks such as FastAPI or Flask
• API/service orchestration
• Experience developing production-grade Python applications
• Git and CI/CD
• Unit/integration testing
• SQL and data handling

Strongly Preferred AI Skills

• GenAI / LLM application development
• Agentic AI / AI Agents
• LanEligible to workhain and/or LangGraph
• LLM integration patterns
• Tool calling / function calling
• RAG concepts and implementation
• Prompt engineering and orchestration

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