Senior AI Engineer Job at AirOps (New York City)

Senior AI Engineer

AirOps

Location:
United States , New York City ▼
San Francisco

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

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 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.

Job Responsibility:

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:

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

What we offer:

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!

Additional Information:

Job Posted:
February 18, 2026

Employment Type:

Fulltime

Work Type:

Hybrid work

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