Senior Python & AI Platform Engineer — Hybrid NYC

Matlen Silver; New York (NY); Hybrid; USD 83,000 - 94,000; Full time

Job summary

Matlen Silver is seeking a Python/AI Engineer for an 18-month W2 contract in NYC with a hybrid onsite model (3 days on site). The role focuses on developing core agent runtime capabilities, orchestration, and platform services to enable scalable AI adoption.

The ideal candidate will design APIs, SDKs, and governance mechanisms, while building evaluation frameworks and observability tools. Collaboration across engineering teams and strong Python, FastAPI, and async skills are required.

Qualifications

• Must have strong Python programming experience.
• Proficient with FastAPI and asynchronous programming models.
• Experience designing and consuming APIs and integrating with external services.
• Hands-on knowledge of MongoDB and Redis.

Responsibilities

• Design, develop, and enhance core Agent Runtime capabilities and reusable platform services.
• Build agent orchestration, memory management, context management, and runtime execution capabilities.
• Develop APIs, SDKs, and platform components for scalable AI adoption.
• Implement platform guardrails, security controls, governance, and policy enforcement capabilities.
• Build testing, benchmarking, evaluation, and observability frameworks.
• Troubleshoot runtime, performance, integration, scalability, and operational issues.
• Conduct proof-of-concepts and evaluate emerging AI technologies.
• Participate in full SDLC activities including requirements analysis, design, development, testing, and deployment.
• Conduct code reviews and contribute to engineering standards and best practices.

Skills

Python

FastAPI

Asynchronous programming

API design

MongoDB

Redis

Job description

Matlen Silver is seeking a Python/AI Engineer for an 18-month W2 contract in NYC with a hybrid onsite model (3 days on site). The role focuses on developing core agent runtime capabilities, orchestration, and platform services to enable scalable AI adoption.

The ideal candidate will design APIs, SDKs, and governance mechanisms, while building evaluation frameworks and observability tools. Collaboration across engineering teams and strong Python, FastAPI, and async skills are required.