AI Builder

🕒 3 days ago

🇺🇸 United States – Remote

💵 $90k - $115k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Artificial Intelligence

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OneDigital

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2000

🏥 Healthcare

📦 Logistics

💼 Consulting

Healthcare • Logistics • Consulting

OneDigital is a company that specializes in providing insurance, financial services, and HR consulting solutions. By leveraging technology and innovation, OneDigital aims to transform complex and inefficient landscapes through business automation, APIs, product development, and AI. Their services include employee benefits consulting, property and casualty insurance, retirement plan administration, and wealth management. OneDigital is committed to diversity, equity, inclusion, and belonging within its corporate culture and offers a range of services aimed at helping businesses and individuals achieve their aspirations of health, success, and financial security.

📋 Description

• 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.

🎯 Requirements

• 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 • 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.

🏖️ Benefits

• Health, wellbeing, retirement, and other financial benefits • Paid time off • Overtime pay for non-exempt employees • Robust learning and development programs • Reimbursement of job-related expenses per the company policy • Employee perks and discounts