Senior Python AI Engineer — GenAI, ML, Data Pipelines

Artech L.L.C.; Rutherford (NJ); On-site; USD 120,000 - 160,000; Full time

Job summary

Artech L.L.C. is seeking an experienced Senior Python Developer to build scalable, AI-powered applications and data-driven solutions in a fast-paced environment. You will develop backend services, APIs, and data pipelines, leveraging Spark for large-scale processing and GenAI workflows.

The role emphasizes collaboration with product, architecture, and engineering teams. The ideal candidate brings strong Python expertise, SQL/data modeling, and hands-on experience with AI frameworks such as

Qualifications

• Experience building scalable Python applications and backend services.
• Strong SQL skills and data modeling expertise.
• Experience with Spark and large-scale data processing.
• Experience with GenAI, ML, model fine-tuning, and AI workflow development.
• Familiarity with AI frameworks and orchestration tools (OpenAI, Gemini, Claude, Llama; LangChain, LangGraph).

Responsibilities

• Develop scalable Python applications, backend services, and APIs.
• Build AI-powered solutions using LLMs, RAG, and multi-agent architectures.
• Design and optimize data models, SQL queries, databases, and data pipelines.
• Work with Spark and large-scale data processing platforms.
• Support GenAI, ML, model fine-tuning, and AI workflow development.
• Leverage AI frameworks to build intelligent applications.
• Deploy, monitor, and optimize production-ready AI services.
• Collaborate with product, architecture, and engineering teams.

Skills

Python

SQL

Data modeling

Spark

Generative AI

Machine Learning

API design

Asynchronous programming

Tools

FastAPI

Docker

OpenAI

Gemini

Claude

Llama

PyTorch

TensorFlow

LangChain

LlamaIndex

Hugging Face

LangGraph

PostgreSQL

Job description

Artech L.L.C. is seeking an experienced Senior Python Developer to build scalable, AI-powered applications and data-driven solutions in a fast-paced environment. You will develop backend services, APIs, and data pipelines, leveraging Spark for large-scale processing and GenAI workflows.

The role emphasizes collaboration with product, architecture, and engineering teams. The ideal candidate brings strong Python expertise, SQL/data modeling, and hands-on experience with AI frameworks such as