Senior AI Engineer

About the role

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Job details:

This Jobot Job is hosted by: Brandon Bays

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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building AI powered systems to modernize a complex legacy industry that has historically relied on manual workflows and outdated tooling.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 LangGraph, LangChain, 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 "Easy Apply" button.

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