Quick Overview
Seniority
Leader
Work mode
Hybrid
Location
New York, NY, United States
Posted
20 hours ago
DockerMongoDBSQLGitGoJavaJavaScriptKubernetesLLMPostgreSQLRedisTypeScript
Job Description
Architect I- Senior Backend + AI Engineer
NYC
Application Developer- Java Web Technologies
• Bachelor’s degree in computer science, Engineering, or related field. Master's degree preferred.
• 10+ years of experience building large-scale distributed systems with a strong proficiency in NodeJS/Javascript/Typescript, and/or Golang.
• Strong experience with LLM systems, agentic workflows or advanced ML infrastructure
• Proven ownership of complex, cross-cutting agentic systems spanning multiple teams or products.
• Strong engineering fundamentals across backend systems, APIs, data pipelines, and cloud infrastructure.
• Deep experience across the agentic AI stack, including planning, tool use, memory, and evaluation.
• Fluency with AI-assisted and agentic development workflows.
• Comfort operating in ambiguous problem spaces and translating them into shipped, reliable autonomous systems.
• Ability to influence technical direction and align teams without formal authority.
• Experience in workflow engines, async processing, queues, and streaming systems.
• Experience with cloud platforms and services and containerization technologies (e.g., Docker, Kubernetes).
• Proficiency in database technologies such as SQL (e.g. PostgreSQL) and NoSQL (e.g. MongoDB, Redis).
• Strong problem-solving skills, with the ability to analyze complex technical challenges and propose effective solutions.
• Experience with version control systems (e.g., Git) and continuous integration/continuous deployment (CI/CD) pipelines.
• Excellent communication skills, with the ability to collaborate effectively with cross-functional teams and stakeholders.
• 10+ years of experience building large-scale distributed systems with a strong proficiency in NodeJS/Javascript/Typescript, and/or Golang.
• Strong experience with LLM systems, agentic workflows or advanced ML infrastructure
• Proven ownership of complex, cross-cutting agentic systems spanning multiple teams or products.
• Strong engineering fundamentals across backend systems, APIs, data pipelines, and cloud infrastructure.
• Deep experience across the agentic AI stack, including planning, tool use, memory, and evaluation.
• Fluency with AI-assisted and agentic development workflows.
• Comfort operating in ambiguous problem spaces and translating them into shipped, reliable autonomous systems.
• Ability to influence technical direction and align teams without formal authority.
• Experience in workflow engines, async processing, queues, and streaming systems.
• Experience with cloud platforms and services and containerization technologies (e.g., Docker, Kubernetes).
• Proficiency in database technologies such as SQL (e.g. PostgreSQL) and NoSQL (e.g. MongoDB, Redis).
• Strong problem-solving skills, with the ability to analyze complex technical challenges and propose effective solutions.
• Experience with version control systems (e.g., Git) and continuous integration/continuous deployment (CI/CD) pipelines.
• Excellent communication skills, with the ability to collaborate effectively with cross-functional teams and stakeholders.
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