AI Builder - Remote

United States Digital Space LLC; United States; Hybrid; USD 110,000 - 130,000; Full time

Job summary

United States Digital Space LLC is seeking an AI Builder (Harness Engineer) to join our embedded product management ecosystem. You will transform ideas, prototypes, and early builds into scalable, secure, and production-ready applications across internal and external business lines.

You will partner with Product Managers to refine, scale, and operationalize AI concepts into enterprise-grade solutions, blending AI engineering with product thinking and rapid experimentation.

Qualifications

• Experience building and deploying AI-powered applications or prototypes.
• Strong familiarity with modern LLM ecosystems, including prompt engineering and model behavior.
• Architectures such as RAG, agents, and workflow orchestration.
• Experience working across a full-stack AI toolchain, including front-end, backend, and deployment.
• Hands-on experience with hosting and deployment platforms (e.g., Vercel).
• Proficiency with GitHub for version control and collaborative development workflows.

Responsibilities

• Partner with embedded Product Managers to interpret business needs, prototypes, and early-stage AI builds.
• Take Product Manager-created concepts or prototypes and evolve them into production-ready AI applications.
• Design, build, and deploy end-to-end AI solutions, from refinement through launch.
• Develop applications using modern AI tooling and platforms.
• Collaborate across internal teams and external business lines to ensure scalability, security, and performance.
• Continuously improve AI solutions through iteration and learning.

Skills

AI-powered apps

LLM ecosystems

Prompt engineering

Model selection

RAG

Agents

Workflow orchestration

Full-stack AI toolchain

Vercel

GitHub

Education

Bachelor’s degree in software engineering or related field

Tools

Vercel

GitHub

Job description

Our Newest Opportunity:

the company is seeking a highly capable AI Builder (Harness Engineer) to join our embedded product management ecosystem. This role is responsible for transforming AI ideas, prototypes, and early-stage builds—often initiated by Product Managers—into scalable, secure, and production-ready applications.

You will partner closely with Product Managers across the organization who are increasingly hands-on in building AI-driven prototypes. Your role is to take these concepts to the next level, refining, scaling, and operationalizing them into high-quality solutions that can be deployed across the company’s internal and external business lines.

This is a hands-on role for someone who thrives at the intersection of AI engineering, product thinking, and rapid experimentation.

Essential Duties and Responsibilities:

• Partner with embedded Product Managers to interpret business needs, prototypes, and early-stage AI builds
• Take Product Manager-created concepts or prototypes and evolve them into production-ready AI applications
• Design, build, and deploy end-to-end AI solutions, from refinement through launch
• Develop applications using modern AI tooling, including:
• Front-end builders (e.g., Replit, cloud-based development environments)
• Hosting and deployment platforms (e.g., Vercel)
• Internal AI platforms and services
• LLM APIs and orchestration frameworks
• Manage code and collaboration workflows using GitHub (version control, branching, pull requests, CI/CD practices)
• Evaluate and implement the most appropriate LLM models and architectures based on use case
• Enhance and scale AI “co-workers” and workflow automation tools across business functions
• Collaborate across internal teams (Marketing, Finance, HR) and external business lines (Employee Benefits, Wealth & Retirement, Financial Services)
• Ensure solutions meet enterprise standards for scalability, security, and performance
• Continuously improve existing AI solutions through iteration, optimization, and feedback
• Stay current on emerging AI technologies and introduce new tools and capabilities into the ecosystem
• Product Managers at the company are actively building and prototyping AI solutions—you will partner with them to elevate these into enterprise-grade applications
• You will work across a wide range of use cases, from internal productivity tools to client-facing AI solutions
• You will help define how AI is built, scaled, and deployed across the organization
• This is not just an architect role—it is a builder role with real impact across the business

Qualifications, Skills and Requirements:

What you’ll bring

• Experience building and deploying AI-powered applications or prototypes
• Strong familiarity with modern LLM ecosystems, including:
• Prompt engineering and model behavior
• Model selection and tradeoffs (e.g., GPT, Claude, open-source models)
• Architectures such as RAG, agents, and workflow orchestration
• Experience working across a full-stack AI toolchain, including front-end, backend, and deployment
• Hands-on experience with Vercel (or similar platforms) for hosting and deployment
• Proficiency with GitHub for version control and collaborative development workflows
• Ability to take loosely defined or partially built solutions and turn them into scalable applications
• Strong problem-solving skills and comfort working with ambiguity
• Proven ability to learn new tools and technologies quickly in a rapidly evolving space

Education, Training and Experience:

Preferred

• Bachelor’s degree - familiarity with software engineering concepts
• Exposure to or experience with product management concepts, including working with requirements and user needs
• Experience working with APIs, cloud services, and modern development environments
• Familiarity with enterprise application development and deployment
• Understanding of AI governance, data privacy, and security considerations

The typical base pay range for this role nationwide is $110,000 to $130,000 per year.

Your base pay is dependent upon your skills, education, qualifications, professional experience, and location. In addition to base pay, some roles are eligible for variable compensation, commission, and/or annual bonus based on your individual performance and/or the company’s performance. We also offer eligible employees health, wellbeing, retirement, and other financial benefits, paid time off, overtime pay for non-exempt employees, and robust learning and development programs. You will receive reimbursement of job-related expenses per the company policy and may receive employee perks and discounts.

To learn more, visit: www.the company.com/careers

the company is an equal opportunity employer. Not only as a matter of standard, but to honor and celebrate our differences. We believe that the power of ONE starts with you. We are committed to cultivating and preserving a culture that celebrates diversity, insists on equity and inclusion, and connects us. Ensuring our people feel seen, valued, respected, and supported is fundamental to our core values and business goals.

the company provides equal employment opportunities to all employees and applicants for employment regardless of their: veteran status, uniformed servicemember status, race, color, religion, sex, sexual orientation, gender identity, age (40 and over), pregnancy (including childbirth, lactation and related medical conditions), national origin or ancestry, citizenship or immigration status, physical or mental disability, genetic information (including testing and characteristics) or any other category protected by federal, state or local law (collectively, “protected characteristics”). A copy of the Federal EEO poster is linked here.

Pursuant to local Fair Chance Ordinances, we will consider qualified applications with arrest or conviction records for employment. For applicable candidates, the following ordinances are linked here to inform you of your rights as an applicant:

City and County of San Francsico

City of Los Angeles

County of Los Angeles

Employment decisions shall comply with all other applicable federal, state and city/county laws prohibiting discrimination in employment. the company complies with all criminal history inquiry [or ‘ban the box’] laws in California, Connecticut, Colorado, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New Mexico, Oregon, Rhode Island, Vermont and Washington.

*In short, we believe in hiring the most qualified applicant for the position, regardless of background.*

If you have questions about our hiring policies and practices, we would be happy to discuss upon receiving your application. We hope to welcome you to the company and look forward to hearing from you.

the company understands the immense responsibility and opportunities provided by Artificial Intelligence. We utilize advanced Artificial Intelligence [AI] technologies to enhance our recruitment process. This includes using AI to filter candidates based on their qualifications and to rediscover potential candidates from our existing applicant pool. Our AI systems help us efficiently identify the best fit for our open positions, ensuring a streamlined and effective hiring experience. However, AI does not replace the humans in our process. If you have concerns about our use of AI, you may opt out where laws allow.

Thank you for your interest in joining the the company team!