OJUS LLC
Python Developer (Berkeley Heights)
Python AI developer in Berkeley Heights, NJ who builds AI-driven applications, data pipelines, and microservices: implementing RAG, orchestrating agents with LangChain/LangGraph/CrewAI, integrating LLMs with vector databases, and deploying via Docker to AWS/Azure/GCP. In-person interview required.
- Compensation
- Not disclosed
- Location
- Berkeley Heights, United States
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 7+ years
- Category
- Software engineering
- Posted
Skills
Must have
- 7+ years of total software experience with deep proficiency in Python
- Hands-on experience with GenAI, NLP, prompt engineering, and vector stores
- Knowledge of web frameworks such as FastAPI, Flask, or Django
- Familiarity with MLOps practices, Git version control, and containerization
- Design and build AI-driven applications, data pipelines, and microservices using Python
- Implement RAG and orchestrate AI agents using LangChain, LangGraph, or CrewAI
- Integrate LLMs with enterprise vector databases and external REST APIs
- Deploy production-ready code via Docker and cloud platforms (AWS, Azure, GCP)
- In-person interview is mandatory
Full description
Job Title: AI Developer with Python
Location: Berkeley Height, NJ
(In-Person Interview is mandatory)
A Python AI Developer job description requires strong programming skills, Generative AI expertise, and backend API development. Key requirements typically include Python proficiency, LLM frameworks, and cloud deployment.
Key Responsibilities
- Design and build AI-driven applications, data pipelines, and microservices using Python.
- Implement Retrieval-Augmented Generation (RAG) and orchestrate AI agents using tools like LangChain, LangGraph, or CrewAI.
- Integrate Large Language Models (LLMs) with enterprise vector databases and external REST APIs.
- Optimize backend performance and deploy production-ready code via Docker and cloud platforms (AWS, Azure, GCP).
Required Skills
- 7+ years of total software experience with deep proficiency in Python.
- Hands-on experience with GenAI, NLP, prompt engineering, and vector stores.
- Knowledge of web frameworks such as FastAPI, Flask, or Django.
- Familiarity with MLOps practices, Git version control, and containerization