Sr. Software Engineer, AI (backend)

Posted 11 Hours Ago
Be an Early Applicant
Palo Alto, CA
155K-214K Annually
Senior level
HR Tech • Information Technology • Software
The Role
The Senior Software Engineer will design and implement AI-powered applications, contribute to AI strategy decisions, develop backend services using TypeScript and Python, and optimize AI features. Responsibilities also include collaborating with product managers and stakeholders to translate business needs into technical solutions.
Summary Generated by Built In

Velocity Global offers the most unified, tech-enabled, and customer service-driven global workforce management, ensuring smooth, reliable operations across countries, roles, and workforce types so businesses can navigate complexity with confidence, deliver strong results, and stay ahead. We help you expand your business into new markets without the complexity of setting up entities. We hire, pay, and manage your workforce across 185+ countries with our AI-powered global Workforce Technology platform.

We are seeking a highly skilled and motivated Senior Software Engineer (A.I.) to join our AI Engineering team, responsible for providing end-to-end A.I. capabilities throughout our organization.  We are a tight-knit, collaborative team that values open communication and shared decision-making.

 As a software engineer with AI expertise, you'll be implementing end-to-end AI-powered solutions using our established AI platforms. You will work across the full technology stack to deliver production-ready features that enhance our user experience and business capabilities.
You will report to the VP, Software Engineering. You will be based in Palo Alto, California, and in-office collaboration is required for at least one day per week.

Key Responsibilities:

  • Design and implement end-to-end AI-powered applications
  • Contribute to technical decisions by providing expertise in AI implementation strategies, including retrieval, prompting, and other AI capabilities
  • Build and optimize AI features using established platforms, with a focus on production readiness and scalability
  • Develop backend services using TypeScript and Python for AI implementation
  • Engineer robust data transformation and retrieval processes to maximize AI system effectiveness
  • Evaluate and integrate various language models based on specific use cases and requirements
  • Actively participate in technical design discussions and collaborate with the team on implementation decisions
  • Work closely with product managers and stakeholders to translate business requirements into technical solutions

You Have:

  • Bachelor's or Master's degree in Computer Science, Engineering, or related field, or equivalent professional experience
  • 5+ years of professional software engineering experience, with proven experience delivering AI solutions to production
  • Strong experience with TypeScript and Python, with the ability to context switch between languages as needed
  • Experience with modern AI architectures and implementation strategies where accuracy and reproducibility are paramount
  • Experience with Jupyter notebooks for iterative development of AI features, including testing prompts, optimizing retrieval strategies, and validating data transformations
  • Experience building production ready applications leveraging direct LLM APIs (e.g. chatgpt)
  • Hands-on experience with prompt engineering and retrieval optimization
  • Experience implementing production AI solutions using vendor platforms
  • Strong AWS background for production system deployment
  • Strong understanding of software engineering best practices, including CI/CD, testing, and monitoring
  • Excellent collaboration skills and experience working in tight-knit engineering teams
  • Strong software engineering fundamentals with a focus on production-ready code
    (this role is not theoretical ML/AI research)
  • Experience with modern AI development frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel) and their practical application in production systems

Nice to Have:

  • Experience with Jupyter Notebooks
  • Background/interest in data science or machine learning concepts/libraries (e.g. Tensorflow, PyTorch)
  • Serverless (AWS Lambda) experience
  • Experience with real-time AI systems
  • Track record of evaluating and implementing AI vendor solutions
  • Experience with modern frontend frameworks (React) for building AI-powered user interfaces

Our job titles may span more than one career level. The base pay depends upon many factors, such as training, transferable skills, work experience, business needs, and market demands. The base pay range is subject to change and may be modified. 

Annualized Pay Range

$155,000$214,000 USD

We are dedicated to fostering diversity and inclusion across our organization, embracing the rich tapestry of cultures, backgrounds, and perspectives that our global team brings together in offices around the world. Velocity Global is an Equal Opportunity Employer committed to empowering individuals from all walks of life to achieve their professional goals with us, regardless of race, religion, gender, gender identity, pregnancy, disability, sexual orientation, age, national origin, citizenship status, or genetic information. We actively seek and encourage applications from diverse candidates, including those with disabilities, and offer accommodations throughout the selection process upon request.

Velocity Global offers a range of benefits tailored to the location and type of role. A general benefits overview is below:

  • Flexible Time Off + Parental Leave
  • Health and Dental Insurance
  • Retirement Savings + Employee Incentive Plan
  • WFH Stipend
  • Company Bonus + Spot Bonuses

Please visit our career page for more information.

Top Skills

Python
Typescript
The Company
HQ: Denver, CO
784 Employees
On-site Workplace
Year Founded: 2014

What We Do

Velocity Global accelerates the future of work for anyone, anywhere, anyhow. Its Global Work Platform™ simplifies the employer and talent experience through its proprietary cloud-based talent management technology, backed by personalized expertise and unmatched global scale. The platform offers a full suite of talent solutions, including global Employer of Record and Contractor Management, to help companies onboard, manage, and pay talent in more than 185 countries and all 50 United States.

Founded in 2014, the company has hundreds of employees across six continents, with plans to double in size in 2022.

As a work anywhere company, Velocity Global employees can create a work experience to fit their lifestyle, giving them the freedom to pursue their passion without the hassle of long commutes, rigid schedules and overlapping work-life demands. We empower people to live life fully, supported by a dynamic culture, growth opportunities and unique benefits. In the words of our founder, Ben Wright: “Professional experiences of a lifetime start here.”

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