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Merge is the leading provider of agentic tools and customer-facing integrations for frontier LLMs, Fortune 500 organizations, and B2B SaaS companies. Our platform offers two core products: Merge Unified, which enables businesses to add hundreds of integrations to their products with a single API, and Merge Agent Handler, which empowers AI agents with secure access to thousands of third-party tools. Merge's enterprise-grade platform handles the entire integration lifecycle, from authentication and security to monitoring and maintenance. Thousands of companies trust Merge to accelerate product development, unblock sales, reduce customer churn, and save engineering resources—allowing them to focus on their core product.
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:
- 7-10+ 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 $209,000 - $232,000
- 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
Merge on the Rise:
Forbes Next Billion Dollar Startups 2023
G2 Fastest Growing Products 2024
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.
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