About Emergence AI

Emergence AI is a frontier agentic AI lab advancing safe, autonomous AI through its pioneering neuroformal architecture. We are building the next generation of enterprise AI: systems capable of understanding complex knowledge, reasoning across information, executing multi-step workflows, and taking action with the verifiability and reliability required for mission-critical environments.

Our Enterprise Agent Platform provides the foundation for building, deploying, and operating AI systems in production — from data connectivity and knowledge management to workflow orchestration, observability, evaluation, and governance. We partner with organizations in semiconductor manufacturing, life sciences, and other data-intensive industries to solve complex challenges that require trusted AI systems capable of operating in real-world environments.

Our team brings experience from leading AI research labs and technology companies, including IBM Research, The Allen Institute for AI, Amazon, and Broadcom. With headquarters in New York and offices across California, Spain, and India, we bring together diverse expertise and perspectives to tackle some of the most challenging problems in enterprise AI.

About the Role

As an AI Engineer at Emergence AI you'll build customer-facing platform capabilities and AI-powered solutions that solve real business problems. You'll work directly with Product Management, Customer Success, and enterprise customers to rapidly understand problems, ship production-quality software, and evolve customer-specific solutions into reusable platform capabilities.

We're looking for engineers who are AI-native, curious, and passionate about building. AI isn't a novelty, it's how you build. You use AI to accelerate implementation while remaining accountable for architecture, engineering quality, and customer outcomes. We care far more about engineering judgment, ownership, and the ability to learn than expertise in any specific programming language or framework.

You'll

Bring software engineering excellence, product thinking, and an AI-native builder mindset to solve challenging problems at the intersection of enterprise software and AI, including:

Building customer-facing capabilities across our Enterprise Agent Platform, including agent orchestration, workflow execution, enterprise integrations, knowledge management, and administration.
Developing production-ready AI workflows and reusable platform services that power enterprise solutions across multiple industries.
Designing trusted AI capabilities including evaluation, verification, observability, provenance, and human-in-the-loop workflows that enable customers to confidently deploy AI in production.
Building intuitive developer and user experiences that simplify how enterprise customers create, configure, and operate AI agents.
Working directly with enterprise customers to understand their business problems, rapidly prototype solutions, and turn successful implementations into reusable platform capabilities.

Enterprise Agent Platform

Build the core platform that enables customers to create, configure, deploy, and operate AI agents securely at enterprise scale. Develop capabilities including agent orchestration, workflow execution, context management, memory, governance, authentication, and enterprise integrations.

Industry AI Solutions

Partner with customers in semiconductor manufacturing, life sciences, and other industries to build production-ready AI workflows that automate complex business processes. Transform customer-specific solutions into reusable platform capabilities that benefit every customer.

Trusted AI Platform

Design and implement the systems that make enterprise AI trustworthy, including evaluation frameworks, verification pipelines, policy enforcement, audit trails, observability, provenance, and human-in-the-loop workflows.

Data & Knowledge Platform

Build the capabilities that connect to enterprise data sources, discover schemas and semantic relationships, manage enterprise knowledge, and provide AI agents with the context needed to reason accurately over complex business data.