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

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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