Rockstar
AI implementation firm built for private equity
ForwardDeployedEngineer
Neural analysis suggests this role is
optimal for Entry candidates.
“Forward Deployed Engineer at Rockstar. Skills: AI systems, LLM integrations, workflow automation, data pipelines, custom tooling, production code. Build AI systems end-to-end. Ship production code for client engagements”
What You'll Achieve.
own client relationships; building teams; own delivery independently
Industry & Context.
Bias toward figuring things out rather than waiting to be told what to do
What They're Looking For.
Must Have
1-3+ years of experience in software engineering or applied AI, fundamentals in Python, comfort picking up new tools quickly, Some hands-on experience with LLMs, whether through work, side projects, or hackathons, The candidate has shipped something real that people actually used, Bias toward figuring things out rather than waiting to be told what to do, Curious about the business side (the candidate wants to understand why they are building something, not just how)
Nice to Have
experience with RAG, experience with agents, experience with orchestration frameworks, experience with data pipelines, exposure to healthcare, exposure to education, exposure to professional services
What You'll Do.
Build AI systems end-to-end
Ship production code for client engagements
Work with senior team members to translate business requirements into technical implementations
Iterate on deployed systems based on real-world performance and client feedback
Research and evaluate emerging AI tools against actual client needs
Contribute to internal engineering standards
and documentation as they scale
How You'll Work.
Team & Collaboration
Work with senior team members to translate business requirements into technical implementations
Full Job Description
Rockstar is recruiting for an AI implementation firm built for private equity. They partner with PE firms managing $10B+ in AUM to deploy AI across portfolio companies in healthcare, education, and financial services. They are profitable, growing fast, and operate with a lean team that punches well above its weight. They own the full lifecycle from strategy through production deployment. The firm's view is that AI has fundamentally changed what one great engineer with business judgment can accomplish. They are built around that. Rather than staffing large teams, they hire a small number of exceptional people, give them real ownership over client engagements, and pay them based on outcomes and speed. Compensation is uncapped and tied directly to the profit generated on the work an individual leads — every engagement has a P&L, and the people who do the work share in the upside. Quarterly, in cash, fully transparent. ### The Role The candidate will be building AI systems that go into production for real businesses. They will work directly alongside the founding team and senior engineers on client engagements, owning pieces of the technical build from day one. They will learn fast because they are close to everything: the client problem, the architecture decisions, the deployment, and the business outcome. They will see how AI actually gets adopted inside companies and what makes the difference between a demo and something that changes how a business operates. The best engineers grow into leading engagements, owning client relationships, and building teams. That path moves quickly at a small firm growing fast, and the people who show up early have a fundamentally different trajectory. ### What You'll Do * Build AI systems end-to-end: LLM integrations, workflow automation, data pipelines, and custom tooling * Ship production code for client engagements in healthcare, education, and financial services * Work with senior team members to translate business requirements int
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