Fractional AI

AI Engineer

SAN FRANCISCO, CAPosted 30+ days ago

Job summary

  • Job post source

    This job is directly from Fractional AI

  • Job overview

    As an AI Engineer at Fractional AI, you will lead the development and deployment of AI applications, significantly impacting customer solutions and shaping the engineering culture.

  • Responsibilities and impact

    You will design and develop custom AI solutions, collaborate with a high-caliber team throughout the project lifecycle, and actively contribute to shaping the company culture.

  • Compensation and benefits

    The position offers a competitive compensation package, 401k with matching, unlimited PTO, comprehensive health coverage, and various additional benefits.

  • Experience and skills

    Candidates should have 4+ years of coding experience, a strong background in building applications with Large Language Models, and a proactive, customer-focused mindset.

  • Career development

    Opportunities for professional growth include working on diverse projects across industries and learning from senior engineers in a collaborative environment.

  • Work environment and culture

    Fractional AI values transparency, teamwork, and a balance between speed and quality in engineering, fostering a culture of personal growth and innovation.

  • Company information

    Fractional AI specializes in bespoke generative AI software, helping businesses bridge the gap between theoretical and practical AI applications.

  • Team overview

    You will work closely with a team of engineers and report directly to the Co-Founder and CTO, collaborating with senior leadership on various projects.

  • Job location and travel

    The position is based in San Francisco, CA, with a hybrid work model of four days in-person and Fridays remote.

  • Application process

    Candidates should prepare to apply with relevant documentation and may need to engage in interviews that assess both technical skills and cultural fit.

  • Unique job features

    This role offers unique opportunities to work on high-impact AI projects for top companies, with a focus on real-world problem-solving and customer interaction.

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

  • Tailor your resume to showcase your strong coding skills and experience with Large Language Models, emphasizing your ability to write elegant, production-ready code across multiple programming languages.

  • Highlight your problem-solving abilities and your experience in customer-facing roles, as these are critical for understanding and meeting client needs at Fractional AI.

  • Apply through multiple platforms, including Fractional AI's corporate site and LinkedIn, to enhance your visibility and increase your chances of landing the position.

  • Network with current employees in the engineering division at Fractional AI on LinkedIn to gain insights about the company culture and the role; consider ice breakers such as asking about their favorite project or what they enjoy most about working there.

  • Optimize your resume for ATS by including keywords from the job description, such as 'Large Language Models,' 'scalable applications,' and 'customer engagement,' to ensure it passes initial screenings.

  • Utilize Jennie Johnson's Power Apply feature to streamline your application process, allowing you to focus on preparing for interviews and connecting with potential colleagues.

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