Artificial Intelligence Engineer

SR2; New York (NY); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Equity

Location: New York City 5 days in‑lab

Healthcare: comprehensive

Office lunches

Workspace budget

Job summary

SR2 is hiring an AI Engineer to design and deploy production-grade LLM applications and agentic workflows in a fast-growing AI-native startup. You will build autonomous agents, manage complex enterprise knowledge bases, and shape the core AI platform.

Ideal candidates have 3+ years of professional engineering experience, strong Python skills, and a track record in research-to-production cycles, with exposure to context engineering and agent orchestration.

Qualifications

• 3+ years of professional engineering experience.
• Strong experience building and deploying complex LLM-powered systems into production.
• Experience developing AI agents, autonomous systems or multi-agent workflows.
• Strong understanding of context engineering, retrieval, agent orchestration or LLM evaluation.
• Experience building reliable AI systems that improve through feedback and iteration.
• Strong Python and software engineering fundamentals.
• Comfortable working across research, experimentation and production engineering.

Responsibilities

• Design, build and deploy production-grade LLM applications and agentic workflows.
• Develop autonomous AI agents capable of managing and updating complex enterprise knowledge bases.
• Build context engineering, retrieval, memory and agent orchestration capabilities.
• Develop continuous learning systems using human feedback and production outcomes.
• Build evaluation frameworks, confidence scoring and reliability systems for AI agents.
• Architect scalable, asynchronous systems handling complex AI workflows.
• Contribute to the core AI platform and influence technical direction.

Skills

Python

LLM systems

Agent orchestration

Production engineering

Context engineering

Software fundamentals

Tools

LangGraph

LangChain

Job description

Are you an AI Engineer looking to build next-generation agentic AI systems at a high-growth startup backed by some of the biggest names in venture capital...

Join a fast growing, AI-native Series A startup that has raised over $30M+ in funding. They are building AI agents that learn how businesses operate and turn complex enterprise processes into autonomous, executable workflows.

You'll be working at the frontier and cutting edge of Applied AI, developing production-grade LLM systems, continuous learning capabilities and multi-agent orchestration. This is an opportunity to own meaningful engineering challenges and help build the core technology behind an ambitious AI platform.

What you will be doing:

• Design, build and deploy production-grade LLM applications and agentic workflows.
• Develop autonomous AI agents capable of managing and updating complex enterprise knowledge bases.
• Build context engineering, retrieval, memory and agent orchestration capabilities.
• Develop continuous learning systems using human feedback and production outcomes.
• Build evaluation frameworks, confidence scoring and reliability systems for AI agents.
• Architect scalable, asynchronous systems handling complex AI workflows.
• Contribute to the core AI platform and influence technical direction.

Requirements:

• 3+ years of professional engineering experience.
• Strong experience building and deploying complex LLM-powered systems into production.
• Experience developing AI agents, autonomous systems or multi-agent workflows.
• Strong understanding of context engineering, retrieval, agent orchestration or LLM evaluation.
• Experience building reliable AI systems that improve through feedback and iteration.
• Strong Python and software engineering fundamentals.
• Comfortable working across research, experimentation and production engineering.

It's a Bonus If You Have:

• Experience with LangGraph, LangChain or similar agent frameworks.
• Knowledge of RAG, vector databases, embeddings and retrieval optimisation.
• Experience with LLM evaluation, observability and human-in-the-loop systems.
• Experience building continuous learning or self-improving AI systems.
• Previous experience in a fast-growing AI-native startup.

The Benefits:

• Equity: Meaningful employee equity package.
• Location: New York City - 5 days in office.
• Funding: Series A startup with $30M+ raised, backed by Sequoia Capital and 8VC.
• Healthcare: 100% employer-paid medical, dental and vision.
• Time Off: Flexible paid time off.
• Additional Benefits: One Medical membership, office lunches, and workspace budget
• Technical Ownership: Build core AI infrastructure and shape the future of enterprise agentic AI.