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Join to apply for the Senior Machine Learning Engineer role at AirOps Get AI-powered advice on this job and more exclusive features. About AirOps Today, thousands of leading brands and agencies use AirOps to win the battle for attention with content that both humans and agents love. We're building the platform and profession that will empower a million marketers to become modern leaders - not spectators - as AI reshapes how brands reach their audiences. We're backed by investors including Unusual Ventures, Wing VC, Founder Collective, XFund, Village Global, and Alt Capital. We're building a world-class team with in-person hubs in San Francisco, New York, and Montevideo, Uruguay. About The Role We'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 develop advanced AI systems, including our SEO Strategy Agent and Workflow Builder Copilot, to empower businesses to optimize their SEO strategies and streamline workflows with AI assistance. Responsibilities 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 efficiency. 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 capabilities. Work with early adopters to optimize model performance and usability. Qualifications 3+ years of experience in machine learning engineering, AI/LLM integration, or NLP applications. Proven track record of building LLM-powered applications. Strong experience with foundation models (GPT-4, Claude, etc.) and 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 AI response optimization. Familiarity with frameworks like LangChain for orchestrating LLM applications. Proficiency in Python and AI frameworks such as Hugging Face, LangChain, or OpenAI SDK. Experience evaluating LLM performance, conducting A/B tests, and refining AI models. Understanding of caching, rate limiting, and cost strategies for AI workloads. Ability to collaborate across teams to develop impactful AI solutions. Benefits Health, Dental, Vision, and Life benefits. Competitive equity. A fast-moving, nerdy team that loves innovation. Our Principles Extreme Ownership Quality Curiosity and Play Make Our Customers Heroes Respectful Candor Additional Details Senior level, Full-time, in Engineering and IT, in the Software Development industry. #J-18808-Ljbffr