> Markdown version of [/jobs/ext/3824731-software-engineer-applied-ai-mid-level](https://www.wearedevelopers.com/jobs/ext/3824731-software-engineer-applied-ai-mid-level). 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). --- # Software Engineer, Applied AI (Mid-Level) - **Company:** Wintermeyer Ventures - **Location:** New York, NY, United States - **Experience:** Experienced - **Salary:** $165,000.0 - $290,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Systems, Python (Programming Language), Software Engineering, AI Infrastructure, ReactJS, Large Language Models, Backend, Agentic-AI, Fastapi, Information Technology, Front End Software Development - **Published:** October 18, 2026 - **Apply:** https://www.juju.com/job/16_33b3603a ## About the Role * One to six years of software engineering experience, with interest in customer-facing applied AI work. * Experience delivering full-stack products across backend, frontend, and AI layers, ideally in an early-stage startup environment. * Strong Python skills and familiarity with FastAPI, Temporal, React, and production software development. * Experience owning technical roadmaps and translating customer needs into practical technical solutions. * Comfort working through ambiguity, managing customer relationships, and taking increasing ownership. * A degree in computer science or a combined computer science and mathematics background. ## Description Join a small engineering team building AI-powered data solutions for alternative investment firms. In this customer-facing, forward-deployed role, you will combine product engineering and applied AI to turn customer needs into production software. What You'll Do * Work directly with asset managers and their portfolio companies to understand data challenges and develop AI-powered solutions. * Own delivery from customer discovery through production deployment across backend, frontend, and AI systems. * Shape customer-specific technical roadmaps and connect product decisions to business outcomes. * Use LLMs and AI agents in your daily work, building on the team's internal AI infrastructure. * Collaborate with the founding team in a high-autonomy environment with broad ownership.