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Software Engineer - Applied AI

2 days ago San Francisco, CA

Merge enables B2B companies to add hundreds of integrations to their products, making it easy to access and sync their customers' data. We offer Unified APIs that provide normalized data across key software categories, including accounting, HRIS, ATS, CRM, file storage, and ticketing. Thousands of companies trust Merge to power their integrations, enabling them to unblock sales, reduce customer churn, accelerate time to market for new products, and save engineering costs and resources. 

As a core component for the future of modern B2B AI infrastructure, Merge is building the data integration layer that powers the next generation of AI products and companies. By solving the complex challenges of data access and normalization, Merge accelerates the development and deployment of AI solutions while ensuring the highest standards of security and performance.

Who are we looking for?
 
We are hiring a backend engineer with ML/AI experience onto our Automation & Applied AI team. Our team is focused on harnessing Applied AI and large language models (LLMs) to build net-new, externally facing products and to drive internal efficiency through automation, intelligent tooling, and AI-native user experiences.
 
What you will do:
  • Build and maintain AI-powered applications: Design production-grade software that integrates machine learning models into real-world systems
  • Fine-tuning and prompt engineering: Adapt base models to specific product needs through techniques like few-shot prompting, retrieval-augmented generation (RAG), or fine-tuning
  • Tooling and infrastructure: Develop internal tools, orchestration systems, and evaluation frameworks to support ML product development
  • Experimentation: Run A/B tests and analyze performance metrics to guide model and product iterations
  • Leadership and autonomy: Participate in roadmapping and architecture discussions, leading large projects from initial inception to production
  • Cross-functional teamwork: Work across disciplines, from infra to UX, to ship full-stack AI features
The ideal candidate will have:
  • 5-7+ years of full-time software engineering experience, with at least 2+ years working with ML/AI systems in production
  • Proven experience building production applications that incorporate ML models (e.g., LLMs, recommendation systems, classification models)
  • Experience with serving and scaling ML models
  • Startup or SaaS experience preferred, with an ability to perform in a fast paced environment dealing with ambiguous technical challenges
  • Experience with Python, Golang, & AWS cloud infrastructure (or similar technologies)
Compensation:
  • The cash compensation range for this role is $195,000 - $210,000
  • Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, and certifications. In addition to cash compensation, all full time employees receive an equity compensation package

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Benefits
  • Unlimited PTO + 10 company holidays
  • Pre-Tax commuter benefits
  • 100% covered health, vision, and dental insurance 
  • 401K Plan
  • $200 one-time home office stipend
  • In office snacks and free dinner when working past 7pm
  • Annual company offsites and quarterly team events. Past locations have included: Nashville, Sonoma, and the Hudson Valley

Merge is an equal opportunity employer, and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other protected class.

Client-provided location(s): San Francisco, CA
Job ID: 5597171004
Employment Type: OTHER
Posted: 2025-07-24T23:34:46

Perks and Benefits

  • Health and Wellness

    • Parental Benefits

      • Work Flexibility

        • Office Life and Perks

          • Vacation and Time Off

            • Financial and Retirement

              • Professional Development

                • Diversity and Inclusion