Job Description
Company Description Meridian brings context-aware AI agents to industries that have traditionally been overlooked in technology adoption such as supply chain, manufacturing, staffing and more. The company works closely with sector experts to automate operations, enhance decision-making, and unlock new efficiencies through applied AI. Meridian is backed by leading investors, including Sunflower Capital, Pear VC, SV Angel, and angels from Anthropic. Team members join a fast-moving environment where they can shape products from the ground up and see their work deployed directly in critical industry workflows.
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Role Description As a Forward Deployed Engineer at Meridian, you will work on-site with customers and internal teams in New York, NY to design, build, and deploy Agents. This full-time role involves translating complex real-world workflows into technical requirements, implementing back-end services and integrations, and iterating quickly based on user feedback. You will collaborate with customers to collect context, build agents and ensure robust, secure, and scalable deployments. Day-to-day responsibilities include talking to customers, writing production-quality code, managing data pipelines, debugging and optimizing systems in live environments, and documenting solutions for long-term maintainability. You will also contribute to best practices, help improve internal tooling, and support go-live and post-deployment operations.
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Qualifications
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- Strong foundation in Computer Science, including algorithms, data structures, and systems concepts.
- Hands-on experience with Software Development and Programming in Python.
- Proficiency in Back-End Development, including APIs, databases, and distributed services.
- Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
- Experience deploying and supporting software in production environments, ideally with cloud platforms (e.g., AWS, GCP, or Azure).
- Comfort working directly with non-technical stakeholders, understanding their needs, and translating them into technical solutions.
- Strong problem-solving skills, curiosity about applied AI, and willingness to work on-site with customers in New York, NY.
- Familiarity with data pipelines, ML/AI systems, or analytics tools is a plus.
- Ability to thrive in a fast-paced, collaborative startup environment and handle responsibility for end-to-end project delivery.
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