Python Developer with AI/ML at Mt Laurel (NJ) oniste.

Overview

On Site
$50 - $60
Full Time

Skills

Amazon Web Services
Artificial Intelligence
Batch Processing
Cloud Computing
Collaboration
Communication
Conflict Resolution
Debugging
Django
Docker
Flask
Good Clinical Practice
Google Cloud Platform
Kubernetes
Large Language Models (LLMs)
Machine Learning (ML)
Microservices
Microsoft Azure
Microsoft Certified Professional
Problem Solving
PyTorch
Python
RESTful
Real-time
Software Engineering
TensorFlow
Testing
Vector Databases
WebSocket
Workflow

Job Details

Hi Team,
Greetings from Savi Tech!
We are excited to announce an opening for a Python Developer to join our growing team. This is an excellent opportunity to work at the intersection of AI/ML and modern software engineering, helping us build scalable, context-driven applications using the Model Context Protocol (MCP).

About the Role

As a Python Developer at Savi Tech, you will play a key role in the design, development, and deployment of MCP-based applications. You'll work closely with our AI/ML and product teams to create innovative solutions for real-world enterprise challenges.

Key Responsibilities

  • Design, develop, and maintain Python applications leveraging the Model Context Protocol (MCP).

  • Integrate MCP with AI/ML models, APIs, and data pipelines.

  • Build scalable services for real-time and batch processing of AI workflows.

  • Collaborate with data scientists, ML engineers, and product managers to implement AI-driven solutions.

  • Optimize performance and ensure high reliability of AI applications and services.

  • Write clean, efficient, and well-documented code following industry best practices.

  • Participate in code reviews, testing, and deployment processes.

  • Stay current with advancements in AI, large language models (LLMs), and MCP.

Required Qualifications

  • Proficiency in Python and frameworks such as FastAPI, Flask, or Django.

  • Strong understanding of AI/ML concepts and hands-on experience with PyTorch, TensorFlow, or Hugging Face Transformers.

  • Practical experience with MCP (Model Context Protocol) or similar context-aware integration frameworks.

  • Knowledge of RESTful APIs, WebSockets, and microservices architectures.

  • Experience with cloud platforms (AWS, Azure, or Google Cloud Platform) and containerization tools (Docker, Kubernetes).

  • Familiarity with vector databases (e.g., Pinecone, Weaviate, FAISS) and retrieval-augmented generation (RAG) techniques.

  • Strong problem-solving, debugging, and communication skills.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

About Savi Technologies