Python Developer
Saransh Inc
Woodbridge Township, NJ, United States
2 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Working hours
Regular working hours
Job source
Tech stack
LangGraph Framework
Application Programming Interfaces (APIs)
Artificial Intelligence
Microsoft Azure
Continuous Integration
Python (Programming Language)
OpenShift
E2e Testing
OpenAI
Software Engineering
SQL Databases
Enterprise Application Integration
+18 more
Data Processing
Enterprise Software Applications
Retrieval-Augmented Generation
Flask (Web Framework)
Large Language Models
Prompt Engineering
Generative AI
Backend
Agentic-AI
Git
Fastapi
Containerization
Integration Tests
Kubernetes
Restful APIs
Model Context Protocol
Docker
Microservices
Job description
Role: Python Developer (Pure Python experience is acceptable; Gen AI experience is not mandatory), * 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.
Requirements
- 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
- LangChain and/or LangGraph
- LLM integration patterns
- Tool calling / function calling
- RAG concepts and implementation
- Prompt engineering and orchestration
Preferred Skills
- MCP (Model Context Protocol)
- Azure OpenAI or other enterprise LLM platforms
- Vector databases
- OpenShift / Kubernetes / Docker
- Enterprise application integration
- Observability and monitoring
- Banking / Fraud / Claims experience
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