Senior AI Engineer

This Jobot Job is hosted by:
Brandon Bays
Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume.
Salary: $225,000 - $280,000 per year

A bit about us:

We’re partnering with a startup building AI powered systems to modernize a complex legacy industry that has historically relied on manual workflows and outdated tooling. In under a year, the company reached ~$10M ARR, became profitable, and is on track to scale to ~$50M ARR this year.

The product sits at the intersection of AI, automation, and real world impact, using LLMs and agentic systems to replace hours or weeks of manual work with intelligent, scalable software. This is a rare opportunity to join early at a company with strong product market fit, real revenue, and meaningful mission driven outcomes.

We are looking for a Senior AI Engineer open to working 3-4 days/week in San Francisco or New York City.

Why join us?

• 401k with 3% company match
• Medical, dental and vision benefits
• Annual team offsites in cool places
• High impact, mission driven work
• You’ll be building systems that directly affect people’s lives and unlock opportunity for top global talent
• Proven traction and real scale ($10M ARR, profitable, and growing rapidly with a clear path to 5x revenue in 2026)
• $500 annual fitness stipend
• LLMs and agentic workflows are deeply embedded into the core product
• Engineering led culture
• Small, high caliber team with real ownership over product and technical decisions
• Zero to one through scale challenges
• You’ll work on everything from early architecture decisions to scaling systems for significant growth
• Already integrated into workflows of leading AI and technology companies
• Rapid iteration, frequent shipping, and direct user feedback loops

Job Details

What You’ll Work On

• Building and scaling agentic AI systems that autonomously execute complex, multi-step workflows end-to-end
• Designing AI orchestration layers, agent harnesses, tool calling frameworks, and execution pipelines for production LLM systems
• Developing and deploying LLM-powered infrastructure including retrieval pipelines, memory/context systems, evaluation layers, and workflow automation
• Building scalable backend services, APIs, and distributed event-driven architectures that support high-throughput AI workloads
• Creating production-grade AI systems focused on reliability, latency, observability, and iteration speed
• Designing integrations with external platforms, APIs, and third-party services to expand agent capabilities
• Improving AI system quality through evaluation frameworks, prompt iteration, retrieval optimization, and human-in-the-loop workflows
• Collaborating closely with product and engineering teams to rapidly prototype and ship new AI-native product experiences
• Evolving platform architecture to support rapid growth, increasing workflow complexity, and new AI capabilities over time

What We’re Looking For

• 4+ years of experience building and shipping production software systems, at least 2 years of AI engineering experience
• Strong backend engineering fundamentals with deep experience in Python
• Proven experience building AI-native products, agentic systems, LLM workflows, RAG pipelines, or orchestration infrastructure in production environments
• Strong understanding of distributed systems, async processing, event-driven architectures, and scalable backend design
• Experience working with modern AI tooling/frameworks such as Lang Graph, Lang Chain, vector databases, workflow engines, or model serving infrastructure
• Ability to move quickly in ambiguous 0?1 startup environments with high ownership and autonomy
• Strong product instincts with an interest in building practical AI systems that solve real operational problems
• Comfortable operating across the stack when needed, including APIs, frontend integrations, internal tooling, and user-facing workflows
• Passion for AI infrastructure, automation, developer tooling, and the future of intelligent software systems

Interested in hearing more? Easy Apply now by clicking the "Apply" button.

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