Lead Software Engineer (LLM Products)

Blue Rose Research•New York, NY

1d•Remote

About The Position

Blue Rose Research is hiring a Software Engineering Lead to set technical direction for a new generation of AI-powered products, including conversational interfaces, autonomous research agents, and tools that turn large amounts of data into actionable information. The role leads a team building these systems while remaining hands-on in the code, making architecture decisions, setting quality standards, and developing engineers. The lead partners with political researchers, data scientists, engineers, and product stakeholders to shape product plans and technical approaches. The work supports campaigns and progressive organizations through the 2028 election cycle, with a focus on building reliable systems and a strong team ahead of peak campaign pressure. Blue Rose Research is a small, mission-driven team that builds data and AI tools to help Democrats win elections and advance progressive causes. The company is remote-first, has an office in New York City, holds regular team meetups, and primarily works East Coast hours. Candidates must be authorized to work lawfully in the United States.

Requirements

At least 8 years of experience as a software engineer.
At least 2 years of experience as a tech lead or engineering lead.
A track record of shipped products.
Hands-on experience building products on top of large language models.
Strong product instincts.
Experience improving engineers through mentorship, thoughtful processes, and clear technical writing.
Ability to work through ambiguity and turn problems into plans a team can execute.
Authorization to work lawfully in the United States.

Nice To Haves

Motivation to support Blue Rose Research’s mission and interest in learning about the progressive political ecosystem.
Prior political or civic-tech experience.

Responsibilities

Lead engineers building end-to-end products where agents and people work together, from prototypes through production.
Own the technical direction and architecture of LLM-powered systems, including agents, retrieval, evaluation, and reliability and performance infrastructure.
Write production code, review designs and pull requests, and unblock the team on difficult technical problems.
Set engineering standards for code quality, testing, observability, and evaluating AI output for trustworthiness.
Establish how the team uses AI tools and coding agents to work efficiently while maintaining quality.
Work with political researchers, data scientists, and engineers to turn ambiguous problems into clear plans and usable software.
Mentor and develop engineers through feedback, pairing, and code review, and help hire team members.
Plan and sequence work across the election cycle, ensuring systems are ready ahead of peak demand and making tradeoff decisions when deadlines are tight.
Learn political strategy and build systems that reflect users’ goals and thought processes.