AirOps helps brands get found and stay found in the AI era. As the first end-to-end content engineering platform, we give marketing teams the systems to win visibility across traditional and AI search with one durable advantage: quality.
Thousands of marketers use AirOps to see how their brand shows up across the new discovery landscape, prioritize the highest-impact opportunities, and create accurate, on-brand content that earns citations from AI platforms and trust from humans. We are building the platform and profession that will equip a million marketers to lead the next chapter of marketing, where creativity and intelligent systems work together and quality becomes the strategy that lasts.
AirOps is backed by Greylock, Unusual Ventures, Wing VC, Founder Collective, XFund, Village Global, Alt Capital, and more than a dozen top marketing leaders, with hubs in San Francisco, New York, and Montevideo.
About the RoleWe're looking for a product-minded AI engineer to help us rapidly define and ship features that make all AirOps customers 10x content engineers.
In this role, you'll drive the development of advanced AI systems, including our SEO Strategy Agent and Workflow Builder Copilot. You'll lead the creation of intelligent solutions that empower businesses to optimize their SEO strategy and streamline workflow creation with AI-powered assistance.
Joining at a critical juncture, you'll collaborate closely with product management to shape our AI roadmap and technical architecture.
Develop and integrate LLM-powered features such as AI-assisted workflow automation, code generation, and content strategy.
Optimize AI performance through prompt engineering, retrieval-augmented generation (RAG), and evaluation frameworks.
Build and scale AI infrastructure, ensuring low-latency responses, caching, and cost-efficient model usage.
Implement AI observability and safeguards, monitoring quality, security, and compliance.
Collaborate with product and engineering teams to deliver intuitive, AI-driven user experiences.
Stay ahead of AI advancements, continuously improving our AI-powered capabilities.
Collaborate with early adopters to optimize model performance and usability.
3+ years of experience in machine learning engineering, AI/LLM integration, or applied NLP
Proven track record of building LLM-powered applications
Strong experience with foundation models (GPT-4o, Claude, etc.) and advanced prompt engineering
Experience with embedding models (e.g., OpenAI Ada, Cohere, or local vector stores like pgvector, Weaviate, Pinecone)
Deep understanding of retrieval-augmented generation (RAG) and contextual AI response optimization
Familiarity with LangChain, or similar frameworks for orchestrating LLM-powered applications
Strong programming skills in Python (experience with AI frameworks like Hugging Face, LangChain, or OpenAI SDK)
Experience in evaluating LLM performance, running A/B tests, and implementing feedback loops for AI refinement
Solid understanding of caching, rate limiting, and cost optimization strategies for AI workloads
Ability to work cross-functionally with engineers, product managers, and end users to develop impactful AI solutions
Extreme Ownership
Quality
Curiosity and Play
Make Our Customers Heroes
Respectful Candor
Equity in a fast-growing startup
Competitive benefits package tailored to your location
Flexible time off policy
Parental Leave
A fun-loving and (just a bit) nerdy team that loves to move fast!
Top Skills
What We Do
Build your AI growth engine.
AirOps lets you easily build and scale AI workflows to crush your growth targets. Build with 40+ AI models, retrieval, and data sources or launch one of our proven playbooks.
