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# Software Engineer, Deployed

- **Company:** Serval, Inc.
- **Location:** New York, NY, United States
- **Salary:** $200,000.0 - $325,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Software Engineering, Systems Integration, Large Language Models, Backend, Agentic-AI, Production Code, Virtual Agents
- **Published:** October 27, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=61a8fab08125a743

## About the Role

* Software engineering experience, ideally in a product-focused or customer-facing role
 * Strong coding and system design skills, with experience shipping production systems and building external integrations
 * High ownership in fast-moving environments with limited structure, and a track record of taking ambiguous problems to shipped, measurable impact.
 * A clear communicator with both technical and business stakeholders., * Startup experience as a founder or early engineer.
 * Background working with enterprise customers or supporting complex technical sales cycles.
 * Experience building or deploying AI/LLM-powered features or agent-based systems.
 * Familiarity with IT, security, service management, or workflow automation.

## Description

Deployed Software Engineers are customer-facing software engineers: shipping features, building new capabilities, and expanding our product surface area inside some of the world's most complex enterprises. You'll work directly with customers to turn messy, high-stakes workflows into reliable AI-driven systems, shipping production code that influences both revenue and product direction. This role isn't about building demos or prototypes; it's about shipping enterprise-grade features and products for our customers., * Ship core product: architect and ship production-grade systems that become part of Serval's core product, born from the real needs of our most complex customers.

 * Build platform services: design backend services, APIs, and integrations that extend Serval's AI agent platform across customers, with a focus on reliability, security, and long-term maintainability.
 * Turn workflows into product: work directly with customers to turn messy, high-stakes workflows into generalized, reusable product capabilities.
 * Own the deployment lifecycle: own key deployments from architecture through scaling and continuous improvement.