About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Technology, Information and Internet.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.

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What You’ll Do

• Build and improve systems that extract and structure information from high volumes of unstructured documents.
• Develop reliable backend services and APIs that support document processing and AI-driven products.
• Integrate ML/AI models into production systems alongside engineers and data scientists.
• Improve scalability, performance, and reliability as services grow.
• Build tools and infrastructure to help teams evaluate and operate AI-powered systems.
• Participate across the full project lifecycle: design, implementation, testing, deployment, and iteration.
• Collaborate with product, engineering, data science, and machine learning teams to solve practical problems.
• Learn new technologies and contribute to the evolution of the AI platform.

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What We’re Looking For

• Bachelor’s or Master’s degree in Computer Science or a related field.
• Strong foundation in data structures, algorithms, and software engineering fundamentals.
• Proficiency in at least one programming language (Python, Java, Go, etc.).
• Practical software-building experience via internships, academic projects, personal projects, or co-ops.
• Strong analytical and problem-solving skills; ability to break down complex problems.
• Genuine curiosity about AI and interest in applying it to real-world problems.
• Good communication and collaboration skills.
• Eagerness to learn, take ownership, and grow as an engineer.
• Must be legally authorized to work in the U.S.; sponsorship is not specified and will be discussed if applicable.

Reasonable accommodations are available for applicants with disabilities upon request. This posting does not request salary history — applicants will not be penalized for declining to provide it.

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Nice to Have

• Experience building backend systems that handle large volumes of information.
• Experience working with unstructured data (documents, text, images).
• Familiarity with AI, LLMs, machine learning, or natural language processing.
• Experience with cloud infrastructure, databases, testing frameworks, APIs, or system performance tuning.

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Benefits & Perks

• Choice of medical, dental, and vision plans.
• Additional insurance options (life, accident, critical illness).
• Flexible paid time off, sick leave, and disability coverage.
• 10 U.S. observed holidays (plus applicable Canadian statutory holidays where relevant).
• Home office stipend.
• 401(k) for U.S.-based employees (and RRSP for Canada-based employees where applicable).
• Paid parental leave.
• Local in-person meetup program and hubs in San Francisco and Toronto.
• (Benefits listed apply to full-time employees.)

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Compensation

• Base salary: $130,000 per year.
  • This is the compensation range provided by the hiring organization for this role in San Francisco, CA. Final pay may vary based on experience, skills, and location where applicable.

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Location

• San Francisco, CA (local hub). Specific work arrangement (on-site, hybrid, or remote) will be discussed during the hiring process.

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Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.