Software Engineer, AI Platform

Wintermeyer Ventures; New York (NY); Sur place; USD 200 000 - 240 000; Plein temps

Avantages offerts par ce poste

Equity

Visa sponsorship

Résumé du poste

Wintermeyer Ventures is seeking a PhD-level backend/platform engineer to join a platform engineering team building AI systems that help users create production-grade enterprise software. You will work on coding agents, learning systems, and governance capabilities that make AI more accurate, secure, and useful in production.

You will design memory systems, knowledge graphs, coding agents, and governance tools to tackle challenges across agentic AI and distributed systems while collaborating with

Qualifications

• PhD in a related field is required.
• At least 3 years of backend or platform engineering experience.
• Experience building AI systems or distributed systems.
• Familiarity with Python, LLMs, agentic AI frameworks, sandboxing and isolation, knowledge graphs, backend systems, database design, and Kubernetes.

Responsabilités

• Build short-term and persistent memory systems, including organizational knowledge graphs that help AI agents understand customer data.
• Design coding agents that generate, execute, debug, and test code, with feedback loops for handling failures.
• Create human-AI interactions and feedback mechanisms for enterprise users.
• Develop centralized governance capabilities for managing applications, workflows, agents, secrets, and policies.
• Solve challenges across agentic AI, security, and distributed systems.

Connaissances

Backend engineering

Distributed systems

AI systems

Python

LLMs

Kubernetes

Knowledge graphs

Formation

PhD in a related field

Outils

Python

LLMs

Kubernetes

Knowledge graphs

Description du poste

About the Role

Join a platform engineering team building AI systems that help users create production-grade enterprise software. You will work on coding agents, learning systems, and governance capabilities that make AI more accurate, secure, and useful in production.

What You'll Do

• Build short-term and persistent memory systems, including organizational knowledge graphs that help AI agents understand customer data.
• Design coding agents that generate, execute, debug, and test code, with feedback loops for handling failures.
• Create human-AI interactions and feedback mechanisms for enterprise users.
• Develop centralized governance capabilities for managing applications, workflows, agents, secrets, and policies.
• Solve challenges across agentic AI, security, and distributed systems.

What We're Looking For

• A PhD and at least 3 years of experience in backend or platform engineering.
• Experience building AI systems or distributed systems.
• Familiarity with Python, LLMs, agentic AI frameworks, sandboxing and isolation, knowledge graphs, backend systems, database design, and Kubernetes.

Compensation & Benefits

Annual salary range: $200,000 to $240,000, plus equity. Visa sponsorship is available.

Location

On-site in New York, New York, United States.