AI Developer with Python (Berkeley Heights)
Mphasis is looking for AI Developer with Python (Berkeley Heights) in Berkeley Heights, NJ.
This local job opportunity with ID 3890399553 is live since 2026-10-15 04:31:27.
AI Developer with Python Locations: Sunnyvale, CA / Berkeley Heights, NJ Work Model: 5 Days Onsite from Day 1 Interview: Mandatory In-Person Interview Experience: 7 Years Job Summary We are looking for a strong Python AI Developer with hands-on experience building production-grade Generative AI applications, RAG solutions, AI agents, backend APIs, and microservices . The ideal candidate should have deep Python expertise and practical experience integrating LLMs with enterprise applications, vector databases, and external APIs. Key Responsibilities Design and develop AI/GenAI-driven applications using Python. Build scalable backend APIs, microservices, and data pipelines . Develop and implement Retrieval-Augmented Generation (RAG) solutions. Build and orchestrate AI/LLM agents using LangChain, LangGraph, CrewAI, or similar frameworks . Integrate LLMs with enterprise applications, vector databases , and REST APIs. Implement prompt engineering and NLP solutions for enterprise use cases. Develop backend services using FastAPI, Flask, or Django . Optimize application performance and build production-ready solutions. Containerize applications using Docker and support deployment to AWS, Azure, or GCP . Follow software engineering and MLOps practices including Git/version control, CI/CD, testing, monitoring, and deployment.5c143e31-5e48-4549-b638-05792d185386
AI Developer with Python Locations: Sunnyvale, CA / Berkeley Heights, NJ Work Model: 5 Days Onsite from Day 1 Interview: Mandatory In-Person Interview Experience: 7 Years Job Summary We are looking for a strong Python AI Developer with hands-on experience building production-grade Generative AI applications, RAG solutions, AI agents, backend APIs, and microservices . The ideal candidate should have deep Python expertise and practical experience integrating LLMs with enterprise applications, vector databases, and external APIs. Key Responsibilities Design and develop AI/GenAI-driven applications using Python. Build scalable backend APIs, microservices, and data pipelines . Develop and implement Retrieval-Augmented Generation (RAG) solutions. Build and orchestrate AI/LLM agents using LangChain, LangGraph, CrewAI, or similar frameworks . Integrate LLMs with enterprise applications, vector databases , and REST APIs. Implement prompt engineering and NLP solutions for enterprise use cases. Develop backend services using FastAPI, Flask, or Django . Optimize application performance and build production-ready solutions. Containerize applications using Docker and support deployment to AWS, Azure, or GCP . Follow software engineering and MLOps practices including Git/version control, CI/CD, testing, monitoring, and deployment.5c143e31-5e48-4549-b638-05792d185386