AirOps is a fast-growing startup building a platform and profession that empowers marketers to become modern leaders with AI. 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.
Requirements
- 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
- Equity in a fast-growing startup
- Competitive benefits package tailored to your location
- Flexible time off policy
- Generous parental leave