cover image
Merge

Merge

www.merge.dev

1 Job

130 Employees

About the Company

Merge is the leading provider of customer-facing integrations and agent tools 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. Merge is backed by $75 million in funding from Accel, NEA, and Addition. Merge was founded in 2020 by Shensi Ding and Gil Feig and is proudly built in San Francisco, New York City, and Berlin. Merge is on Linkedin's 2025 Top Startups list (see here https://hubs.li/Q03NHPnb0), and we're hiring! Apply here: https://www.merge.dev/careers

Listed Jobs

Company background Company brand
Company Name
Merge
Job Title
Software Engineer Intern
Job Description
**Job Title:** Software Engineer Intern (Applied AI) **Role Summary:** Support the development and productionization of AI-driven agentic workflows for Merge’s Agent Handler platform. Collaborate with product managers and engineers to prototype, evaluate, and ship reliable, observable, and cost‑effective AI utilities. **Expectations:** - Deliver high‑quality code in Python and a typed backend language. - Conduct rigorous data preparation, model benchmarking, and evaluation. - Communicate clearly and document work for reproducibility and team knowledge sharing. - Operate within fast‑paced, collaborative, in‑person environment. **Key Responsibilities:** - Build and iterate on agentic workflows, from prompt design to tool‑calling and evaluation. - Implement and benchmark model‑ and retrieval‑based methods for classification, extraction, and decision‑making. - Design offline and online evaluation frameworks (golden sets, regression tests, success metrics). - Prototype developer‑facing utilities and internal services to improve reliability, latency, and cost control. - Partner with product and engineering on experiment design, scoping, and production roll‑outs. - Contribute to documentation, internal playbooks, and repeatable AI development processes. **Required Skills:** - Proficiency in Python and familiarity with a typed language used in backend development (e.g., Java, Go, C#). - Experience with at least one of: LLM tool‑calling, Retrieval‑Augmented Generation (RAG), fine‑tuning, or structured model output evaluation. - Data wrangling, API usage, and building small services or scripts. - Strong written and verbal communication with attention to detail and reproducibility. **Required Education & Certifications:** - Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related technical field.
San francisco, United states
On site
Fresher
21-10-2025