Fractional AI

AI Engineer

NEW YORK, NYPosted a month ago

Job summary

  • Job post source

    This job is directly from Fractional AI

  • Job overview

    The AI Engineer role at Fractional AI involves leading the development and deployment of custom AI applications for clients, significantly impacting the company's engineering culture and client solutions.

  • Responsibilities and impact

    The AI Engineer will design and develop tailored AI solutions, manage projects from requirements to deployment, and actively contribute to shaping the company's engineering and cultural environment.

  • Compensation and benefits

    The position offers a competitive salary, 401k with matching, unlimited PTO, comprehensive medical, dental, and vision coverage, health FSA, commuter benefits, life insurance, and team events.

  • Experience and skills

    Candidates should have 4+ years of coding experience, proficiency in multiple programming languages, experience with Large Language Models and frameworks like LangChain, strong problem-solving skills, customer interaction ability, and a collaborative mindset.

  • Career development

    The role provides opportunities to work on diverse AI projects across industries, learn from senior engineers, and develop expertise in foundational AI models and tools, fostering significant professional growth.

  • Work environment and culture

    Fractional AI promotes an engineering-first startup culture with transparency, collaboration, and a focus on balancing code quality and expediency, emphasizing customer engagement and continuous learning.

  • Company information

    Fractional AI is a San Francisco and NYC-based startup specializing in bespoke generative AI software, working with top companies to bridge the gap between AI theory and practice through custom engineering solutions.

  • Team overview

    The candidate will work closely with the co-founder and CTO, other engineers on multi-engineer projects, and collaborate with the CEO and Chairman, fostering a high-caliber, collaborative team environment.

  • Job location and travel

    The role is based in San Francisco or NYC with a hybrid schedule of 4 days in-person and Fridays remote, with remote work available until the NYC office opens.

  • Unique job features

    The job offers unique opportunities to lead diverse AI projects, work directly with customers, and gain extensive experience with cutting-edge AI tools and frameworks in a startup environment.

Company overview

Fractional AI is a technology company specializing in artificial intelligence solutions designed to optimize business operations and decision-making. The company generates revenue by offering AI-driven tools and platforms that help organizations enhance efficiency, reduce costs, and improve scalability through predictive analytics and automation. Founded with a focus on democratizing access to advanced AI, Fractional AI has positioned itself as a key player in providing tailored, scalable solutions for businesses across various industries. Candidates should be aware of its emphasis on innovation, customer-centric design, and its mission to make AI accessible to companies of all sizes.

How to land this job

  • Position your resume to highlight your 4+ years of experience writing elegant, production-ready code across multiple programming languages, emphasizing your proficiency with Python and frameworks like LangChain and LlamaIndex relevant to LLM applications.

  • Showcase your experience building scalable AI solutions with Large Language Models and your ability to handle end-to-end project lifecycles, from requirements gathering to deployment and customer interaction.

  • Apply to the AI Engineer role through multiple channels such as Fractional AI's corporate careers page and LinkedIn to maximize your application visibility and chances of consideration.

  • Connect on LinkedIn with engineers and team members in Fractional AI's AI engineering division; use ice breakers like commenting on a recent Fractional AI case study, asking about their experience with LangChain, or inquiring how they balance speed and quality in production code.

  • Optimize your resume for ATS by incorporating keywords from the job description including 'Large Language Models,' 'LangChain,' 'production-ready code,' 'customer collaboration,' and 'scalable AI solutions' to ensure it passes initial automated screenings.

  • Utilize Jennie Johnson's Power Apply feature to automate tailored applications, identify multiple application portals, and find relevant LinkedIn contacts, allowing you to focus more on preparing for interviews and refining your skills.

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