Senior AI Engineer

Australia-Employment; New York (NY); On-site; USD 225,000 - 300,000; Full time

Benefits offered by this job

401k with 3% company match

Medical, dental and vision benefits

Annual team offsites

Job summary

Jobot is seeking a Senior AI Engineer in New York City or San Francisco for an on-site, permanent position. You will build and scale agentic AI systems, design orchestration layers, and deploy LLM-powered infrastructure.

The role offers ownership over critical AI workflows and thrives in a fast-growing startup with real revenue and meaningful impact. You will work 3-4 days per week in NYC or SF, collaborating with product and engineering to ship AI-native experiences while advancing platform

Qualifications

• 4+ years of experience building and shipping production software, with at least 2 years in AI engineering.
• Strong backend engineering fundamentals with deep Python expertise.
• Proven experience with AI-native products, agentic systems, LLM workflows, or orchestration infrastructure.
• Experience with distributed systems, async processing, and event-driven architectures.
• Familiarity with LangGraph, LangChain, vector databases, or similar AI tooling.

Responsibilities

• Build and scale agentic AI systems that autonomously execute complex workflows end-to-end.
• Design AI orchestration layers, agent harnesses, tool calls, and production pipelines.
• Develop and deploy LLM-powered infra including retrieval and memory systems.
• Build scalable backend services, APIs, and event-driven architectures for AI workloads.
• Create production-grade AI systems with reliability, latency, and observability.
• Integrate external platforms, APIs, and third-party services to expand agents.
• Improve AI systems with evaluation, retrieval optimization, and human-in-the-loop workflows.
• Collaborate with product and engineering to prototype and ship AI-native experiences.
• Evolve platform architecture for growth and new AI capabilities.

Skills

Python

AI engineering

Distributed systems

Async processing

APIs

Tools

LangGraph

LangChain

Vector databases

Workflow engines

Model serving infrastructure

Job description

Senior AI Engineer

$225000 - $300000 per year | New York, NY | On-site | Permanent

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building AI powered systems to modernize a complex legacy industry that has historically relied on manual workflows and outdated tooling.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 ~$30M 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 3x 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

Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.

Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.