Senior AI Engineer

Senior AI Engineer

We’re partnering with an innovative AI-driven company building next-generation intelligent systems that automate complex workflows, reasoning tasks, and decision-making processes.

We’re looking for a hands-on Senior AI Engineer who has experience building and deploying AI products in production, ideally within high-growth startups (Seed, Series A, Series B, or Series C environments). This is an opportunity to help shape core AI architecture, own systems end-to-end, and develop agentic AI capabilities that directly impact the business.

This role is hybrid, requiring 3 days per week onsite in New York City.

What You’ll Do

Build Production Agentic AI Systems

• Design, develop, and deploy production-grade AI applications powered by LLMs and autonomous agent architectures
• Build multi-agent systems capable of planning, reasoning, memory management, tool usage, and workflow orchestration
• Develop AI products that move beyond prototypes and operate reliably in real-world production environments
• Design scalable architectures for long-running agent workflows and complex task execution

Own AI Systems End-to-End

• Lead the full lifecycle from concept and architecture through deployment, monitoring, and continuous improvement
• Build APIs, services, data pipelines, agent frameworks, and supporting infrastructure
• Partner closely with Product, Engineering, Design, and Leadership teams to identify high-impact AI opportunities
• Drive technical decisions around model selection, orchestration frameworks, architecture, and deployment strategies

Retrieval, Knowledge & Memory Systems

• Design and implement advanced RAG architectures
• Build long-term memory and context-management systems for AI agents
• Develop integrations with vector databases, knowledge stores, and enterprise data sources
• Improve retrieval quality, agent accuracy, and reasoning performance across workflows

Reliability, Evaluation & Scale

• Build evaluation frameworks and testing pipelines for AI systems
• Establish observability, monitoring, guardrails, and governance for production AI applications
• Improve latency, reliability, scalability, and cost efficiency across AI workloads
• Create processes that allow AI systems to operate safely and effectively at scale

What We’re Looking For

Required

• 6+ years of software engineering, machine learning, or AI engineering experience
• Strong Python engineering background with experience building production systems
• Demonstrated experience deploying LLM-powered products used by real customers
• Hands-on experience building multi-agent or agentic AI systems in production
• Experience with frameworks such as LangGraph, LangChain, CrewAI, AutoGen, OpenAI Agents SDK, or similar
• Strong understanding of RAG architectures, retrieval systems, vector databases, and embeddings
• Experience designing distributed systems, APIs, and scalable backend services
• Experience deploying applications on AWS
• Strong systems-thinking mindset and ability to operate in fast-moving startup environments

Highly Preferred

• Experience working at venture-backed startups (Seed, Series A, Series B, or Series C)
• Experience being one of the first AI hires or an early engineering team member
• Proven track record taking AI products from 0→1 and scaling them in production
• Experience building AI infrastructure, orchestration platforms, or developer tooling
• Experience with agent memory, planning, tool calling, MCP, and workflow orchestration
• Experience deploying production systems using Docker, Kubernetes, Terraform, or modern DevOps tooling
• Experience evaluating and benchmarking LLMs and autonomous agents