Airops Inc. logo

Senior AI Engineer

Job Overview

Location

Remote

Job Type

Full-time

Category

Machine Learning Engineer

Date Posted

February 12, 2026

Full Job Description

đź“‹ Description

  • • Join AirOps, a hyper-growth company at the forefront of content engineering for the AI era, and play a pivotal role in shaping the future of how brands get found and stay found. As a Senior AI Engineer, you will be instrumental in defining and shipping cutting-edge AI features that empower our customers to become 10x content engineers, transforming their approach to content creation and optimization.
  • • This role is designed for a product-minded engineer who thrives on building advanced AI systems from the ground up. You will take ownership of critical AI initiatives, including the development and integration of our sophisticated SEO Strategy Agent and the intuitive Workflow Builder Copilot. These systems are designed to revolutionize how businesses approach SEO, enabling them to navigate the evolving AI-driven discovery landscape with unprecedented efficiency and effectiveness.
  • • You will be at the heart of creating intelligent solutions that empower businesses to not only optimize their SEO strategy but also to streamline their content workflow creation processes through AI-powered assistance. This involves a deep dive into the practical application of AI to solve real-world marketing challenges, ensuring our platform delivers tangible competitive advantages.
  • • Joining AirOps at this critical juncture of hyper-growth presents a unique opportunity to influence our AI roadmap and technical architecture significantly. You will collaborate closely with product management to translate market needs and strategic vision into robust, scalable AI features. Your contributions will directly impact the direction and success of our AI-powered product offerings.
  • • A core responsibility will be the development and seamless integration of Large Language Model (LLM)-powered features. This includes, but is not limited to, AI-assisted workflow automation that simplifies complex tasks, intelligent code generation for content optimization, and advanced AI capabilities for crafting effective content strategies.
  • • You will be tasked with optimizing AI performance to ensure maximum efficacy and efficiency. This involves mastering prompt engineering techniques, implementing retrieval-augmented generation (RAG) strategies to provide contextually relevant and accurate responses, and establishing robust evaluation frameworks to measure and improve model performance.
  • • Building and scaling our AI infrastructure is a key aspect of this role. You will focus on ensuring low-latency responses for a seamless user experience, implementing effective caching mechanisms to improve speed and reduce costs, and optimizing for cost-efficient model usage without compromising on quality or performance.
  • • Implementing comprehensive AI observability and safeguards is crucial for maintaining the integrity and reliability of our AI systems. This includes continuous monitoring of AI quality, ensuring robust security measures are in place, and adhering to compliance standards to build trust with our users and stakeholders.
  • • You will work in close collaboration with cross-functional teams, including product managers and fellow engineers, to deliver intuitive, AI-driven user experiences that are both powerful and easy to use. This collaborative approach ensures that the technical solutions align perfectly with user needs and business objectives.
  • • A proactive approach to staying ahead of AI advancements is expected. You will continuously research and experiment with new AI technologies and methodologies, integrating them into our platform to enhance our AI-powered capabilities and maintain our competitive edge.
  • • Engaging directly with our early adopters and customers will be vital. You will collaborate with them to gather feedback, understand their challenges, and iterate on model performance and usability, ensuring our AI solutions are practical and impactful in real-world scenarios.
  • • This role offers the chance to work with leading foundation models and cutting-edge AI techniques, pushing the boundaries of what's possible in content engineering and AI-driven marketing.
  • • You will contribute to a culture of innovation, where curiosity, quality, and a drive to make our customers heroes are paramount. Your work will directly contribute to AirOps' mission of empowering the next generation of marketing leaders with intelligent systems.

🎯 Requirements

  • • 3+ years of experience in machine learning engineering, AI LLM integration, or applied Natural Language Processing (NLP).
  • • Proven track record of successfully building and deploying LLM-powered applications.
  • • Strong experience with foundation models (e.g., GPT-4o, Claude) and advanced prompt engineering techniques.
  • • Deep understanding of retrieval-augmented generation (RAG) and contextual AI response optimization.
  • • Strong programming skills in Python, with experience in AI frameworks like Hugging Face, LangChain, or the OpenAI SDK.

🏖️ Benefits

  • • Equity in a fast-growing startup, offering a direct stake in our success.
  • • Competitive benefits package tailored to your location, ensuring comprehensive support.
  • • Flexible time off policy, promoting work-life balance and personal well-being.
  • • Generous Parental Leave to support new parents during this significant life event.
  • • A fun-loving, collaborative, and (just a bit) nerdy team environment that values speed and innovation.

Skills & Technologies

Python
Data Science
Senior
Remote

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About Airops Inc.

Airops is a leading provider of AI-powered solutions for operational efficiency. Their platform integrates seamlessly with existing business systems to automate complex workflows, enhance decision-making, and drive significant cost savings. By leveraging advanced machine learning algorithms and natural language processing, Airops empowers organizations across various industries, including finance, healthcare, and logistics, to optimize their operations. The company focuses on delivering tangible business outcomes through intelligent automation, enabling clients to reduce manual effort, minimize errors, and improve overall productivity. Airops is committed to helping businesses navigate the complexities of modern operations with cutting-edge AI technology.

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