> Markdown version of [/jobs/ext/4477566-ai-engineer](https://www.wearedevelopers.com/jobs/ext/4477566-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** Avacend Inc - **Location:** New York, NY, United States - **Contract:** Permanent contract - **Skills:** LangGraph Framework, Artificial Intelligence, Computer Programming, Github, OpenAI, Software Engineering, Unstructured Data, Large Language Models, Prompt Engineering, Agentic-AI, AI Platforms, Virtual Agents - **Published:** October 12, 2026 - **Apply:** https://www.adzuna.com/details/5924439466 ## About the Role * Strong hands-on software engineering experience with recent production coding experience. * Proven experience building and shipping LLM/agentic AI systems - beyond prompt engineering. * Experience with technologies such as LangGraph, DSPy, Inspect, Anthropic SDK, OpenAI SDK, or similar. * Experience with vertical AI, particularly healthcare, finance, insurance, or legal. * Experience working with unstructured data and complex enterprise workflows. * Previous experience as an early engineer at a startup is highly preferred. * Public AI/agent work such as GitHub repositories, technical blogs, talks, or OSS contributions is a strong plus. * Comfortable working in a small, fast-moving founding team and reporting directly to the founder., * A Founding Engineer / Forward Deployed Engineer / Staff-level engineer who is still hands-on, has shipped production AI agents recently, and wants significant ownership in an early-stage company. ## Description Employment Type: Full-Time About the AI Engineer role: * We're hiring a Founding AI Engineer for Resolvd AI, an early-stage AI company building an autonomous workforce for the healthcare supply chain What You'll Do * Build and ship production-grade LLM and AI agent systems. * Work on agent orchestration, state management, tool use, evaluations, and failure handling. * Turn complex customer workflows into reusable AI platform capabilities. * Work with messy, unstructured enterprise data in healthcare and other verticals. * Collaborate directly with the founder and help shape the product and technical architecture.