Senior Python AI Engineer — Data & GenAI (Hybrid)

Axelon Services Corporation; Rutherford (NJ); Hybrid; USD 117,000 - 124,000; Full time

Job summary

Axelon Services Corporation in Rutherford, NJ is seeking an experienced Senior Python Developer for a hybrid contract role. You will develop data-driven, AI-enabled applications, build scalable Python services, and optimize data models.

Collaborate with product, architecture, and engineering teams on large-scale data processing and GenAI initiatives. Requires experience with Python, FastAPI, AI/ML tech, and modern deployment with Docker; preferred knowledge of LangChain, PyTorch, and vector

Qualifications

• Experience with Python, FastAPI, Java, Spring AI, and Async Programming.
• Foundational Models experience: Gemini, OpenAI, Claude, Llama, Local Models.
• ML frameworks: PyTorch, TensorFlow, fine-tuning.
• AI frameworks: LangChain, LlamaIndex, Hugging Face.
• Orchestration tools: LangGraph, Multi-Agent Systems.
• Retrieval augmented generation: PostgreSQL, vector DBs, advanced retrieval.
• Deployment: Docker, production APIs, monitoring.
• GenAI workflow: prompt engineering, workflow design, GenAI optimization.

Responsibilities

• Develop data-driven and AI-enabled applications.
• Build scalable Python services and workflows.
• Design and optimize data models and database solutions.
• Work with large-scale data processing platforms.
• Support AI/ML and GenAI initiatives.
• Collaborate across product, architecture, and engineering teams.

Skills

AI/ML concepts

Data modeling

Collaboration

Tools

Python

FastAPI

Java

Spring AI

Async Programming

PyTorch

TensorFlow

LangChain

Hugging Face

Docker

PostgreSQL

Vector DBs

Job description

Axelon Services Corporation in Rutherford, NJ is seeking an experienced Senior Python Developer for a hybrid contract role. You will develop data-driven, AI-enabled applications, build scalable Python services, and optimize data models.

Collaborate with product, architecture, and engineering teams on large-scale data processing and GenAI initiatives. Requires experience with Python, FastAPI, AI/ML tech, and modern deployment with Docker; preferred knowledge of LangChain, PyTorch, and vector