multiplier-holdings - Staff Engineer - Knowledge Intelligence Pod
Requirements
• 8+ years building software, including Staff-level technical leadership on complex systems. • Product-minded and close to users. You judge success by whether professionals work faster and trust the output, not just whether the system returned a response, and you'll sit with tax pros and accountants to watch real work firsthand. • Strong across the stack. You move comfortably between backend systems, APIs, data models, review UIs, and production debugging. • Ideally experienced with applied AI and/or financial systems and data. You've worked deeply with LLMs, retrieval, extraction, and agents, or with the data behind financial and accounting workflows. • Calm with ambiguity, high on ownership. You turn a fuzzy problem into a plan, a shipped system, and a measurable feedback loop, validating hypotheses and adapting as you learn, without waiting for perfect specs. • A strong technical communicator. You write crisp design docs, explain tradeoffs plainly, and align engineering, product, and domain experts around a path forward. • What This Role Is Not • A research-only AI role. You'll experiment with models, retrieval, and agents, but the job is shipping reliable systems into real workflows. • A prompt-engineering-only role. Prompting matters, but the hard work is systems design, evaluation, and earning user trust. • An internal platform or infrastructure-only role. KIP is a vertical product team measured by direct customer value, not internal tickets. • A pure people-management role. You'll lead technically and mentor engineers, but this is a hands-on Staff Engineer role.
Benefits
• You'll help build the knowledge layer for AI-native professional services firms: the systems that turn messy documents, communications, and firm knowledge into structured, verifiable intelligence professionals can act on. KIP sits at the intersection of financial data and applied AI, where correctness is non-negotiable and the bar for accuracy is high. • The work is early enough that you can shape the architecture, engineering standards, and product direction, and real enough that you'll see whether staff trust what you build and whether it removes painful manual work. If you want to build applied AI systems that become dependable infrastructure for high-stakes professional work, this is it. • A high-impact Staff Engineer role shaping KIP's technical foundation, with direct access to real users and fast feedback loops. • Scope to influence architecture across extraction, retrieval, evaluation, and product surfaces. • Competitive salary plus performance-based bonus and equity. • Unlimited paid leave to rest and recharge. • Remote or flexible hybrid work depending on location. • Comprehensive medical, dental, and vision insurance.
Apply in one click
Upload My Resume
Drop here or click to browse · Tap to choose · PDF, DOCX, DOC, RTF, TXT