Senior AI/LLM Engineer
Description For Senior AI/LLM Engineer
AirOps is revolutionizing how brands and agencies create content through AI-powered solutions. As a Senior AI/LLM Engineer, you'll be at the forefront of developing advanced AI systems, including the SEO Strategy Agent and Workflow Builder Copilot. This role offers an exciting opportunity to shape the future of content engineering while working with cutting-edge LLM technologies.
You'll be joining a well-funded startup backed by prestigious investors like Unusual Ventures and Wing VC, with physical hubs in San Francisco, New York, and Montevideo. The position requires expertise in machine learning engineering, LLM integration, and applied NLP, with a focus on building scalable AI-powered applications.
Your responsibilities will span from developing LLM-powered features to optimizing AI performance through prompt engineering and RAG frameworks. You'll be instrumental in building and scaling AI infrastructure while ensuring top-notch performance, security, and compliance.
The ideal candidate brings 3+ years of relevant experience, strong Python programming skills, and deep knowledge of foundation models and embedding technologies. You'll work in a collaborative environment, interfacing with product managers, engineers, and end users to create impactful AI solutions.
Benefits include comprehensive healthcare coverage, competitive equity packages, and the opportunity to work with a dynamic, fast-moving team. The company culture emphasizes extreme ownership, quality, curiosity, and making customers heroes through respectful candor.
Responsibilities For Senior AI/LLM Engineer
- 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
Requirements For Senior AI/LLM Engineer
- 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
Benefits For Senior AI/LLM Engineer
- Generous Health, Dental, Vision, and Life benefits
- Highly competitive equity
- A fun-loving and (just a bit) nerdy team that loves to move fast!
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