Gen AI Python Engineer — Hybrid W2 Contract

Matlen Silver; New Jersey; Hybrid; USD 83,000 - 96,000; Full time

Job summary

Matlen Silver is seeking a Gen AI Python Developer for an 18-month W2 contract. The role is hybrid: 3 days onsite in Jersey City, 2 days remote, with work across Jersey City, Charlotte, and Addison.

You will develop expert Python solutions, work with MongoDB, Redis, Angular/React, containerization, ML/GenAI lifecycle tooling, MLFlow, Kubeflow, and build API-based apps using FastAPI, JWT, and API Gateway, in a large multi-repo environment with CI/CD and DevOps tooling.

Qualifications

• Expert Python development skills.
• Hands-on experience in application development using MongoDB, Redis, Angular/React, and containerization.
• Experience with AI/ML/GenAI lifecycle management and tools such as MLFlow and Kubeflow.
• Hands-on experience building frameworks and inference techniques.
• Building API-based applications with FastAPI, JWT, and API Gateway.
• Experience in large teams across multi-repo codebases with CI/CD and DevOps tooling.

Responsibilities

• Codes solutions and unit tests to deliver defined requirements and acceptance criteria.
• Utilizes multiple architectural components across data, application, and business domains.
• Performs CI/CD activities and contributes to development lifecycle estimates.
• Contributes to story refinement and requirements definition.
• Estimates work required to deliver a story within the delivery lifecycle.

Skills

Python development

MongoDB

Redis

Angular/React

Containerization

GenAI lifecycle

MLFlow

Kubeflow

Fine-tuning

Inference frameworks

FastAPI

JWT

API Gateway

CI/CD

DevOps tools

Git/Bitbucket

Jenkins

SonarQube

pytest

Artifactory

Ansible

Tools

VS Code

Job description

Matlen Silver is seeking a Gen AI Python Developer for an 18-month W2 contract. The role is hybrid: 3 days onsite in Jersey City, 2 days remote, with work across Jersey City, Charlotte, and Addison.

You will develop expert Python solutions, work with MongoDB, Redis, Angular/React, containerization, ML/GenAI lifecycle tooling, MLFlow, Kubeflow, and build API-based apps using FastAPI, JWT, and API Gateway, in a large multi-repo environment with CI/CD and DevOps tooling.