[Remote] Staff AI Engineer

Note: The job is a remote job and is open to candidates in USA. Emergence AI is building next-generation agentic AI systems that move beyond code generation to provable task completion, verification, and long-horizon autonomy. As a Staff AI Engineer, you will bring AI expertise and a builder's mindset to advance AI capabilities, working on designing workflows, verification systems, and building infrastructure for autonomous agents.

Responsibilities

• Drive cutting-edge AI capabilities across multiple layers of the agent platform from workflow orchestration and verification systems to custom workflow builders and agent operations infrastructure
• Ensure a high craft and quality bar in both AI agent performance and platform reliability , build systems that are fast, correct, and maintainable
• Collaborate with fellow engineers, designers, product managers, and customers to integrate platform functionality into frontier agentic products and deliver customer value
• Contribute to platform reliability, code quality, AI evaluation, testing, and maintenance across the broader engineering team
• Mentor and elevate engineers around you , share knowledge, review code thoughtfully, and raise the technical bar for the team

Skills

• 8+ years of experience building backend systems, distributed systems, or data infrastructure, with at least 2+ years focused on AI/ML engineering in production environments
• Experience building and shipping multi-model or multi-provider AI systems in production using LLM APIs (OpenAI, Anthropic, or similar), prompt engineering, function calling, or agent frameworks at scale
• Track record at both startups AND enterprise companies, you know how to move fast while maintaining reliability and can navigate both worlds effectively
• Familiarity with context management, session state, or memory systems in AI or distributed systems. You've thought about what the model sees and why it matters
• Experience with evaluation frameworks, testing strategies for AI systems, or quality measurement in production ML systems
• Strong systems thinking around safety, verification, and correctness, you've built guardrails, validation layers, or compliance systems where 'probably right' isn't good enough
• Excitement about agentic AI and the infrastructure challenges of making autonomous systems reliable when the stakes are real
• A bias toward full ownership: you navigate ambiguity well, don't wait for perfect specs, and take problems from concept through production deployment
• Comfortable working with a small, fast-moving team where you'll dive in, take ownership, mentor others, and elevate the engineering culture

Benefits

• Comprehensive health & wellness benefits, including medical, dental, vision, HSA, and FSA options
• Voluntary insurance offerings for additional coverage
• 401(k) plan with company match
• Flexible time off and company holidays to support rest and recharge
• Flexible remote work environment
• One-time home office setup stipend
• Ongoing monthly stipend to support your work-from-home needs

Company Overview

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