
Member of Technical Staff
New York, NYFull-time$150–350K/yrPosted 7mo agoStill listed 2w ago
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Job overview
Modus is hiring a Member of Technical Staff. Modus is building the future of audit with Agentic AI, partnering with early customers to streamline financial audits. The small, execution‑focused team seeks engineers who can design, build, and ship AI‑powered agents across LLM pipelines, document parsing, and backend infrastructure.
Key focus areas include Build and deploy AI agents that parse documents, extract entities, cross‑check financials, and complete workflows end‑to‑end, Work across the stack—from Python backends and vector stores to browser‑based agents and internal tools, and Ship fast: iterate on v1s quickly, and come back to compound the wins.
Successful candidates bring Track Record Of Shipping AI/Infra/Backend Features Fast. Important skills include Builder Instincts, End-to-End Ownership, Bias For Action, Debugging In Prod, Learning From Real-World Usage, and AI-Powered Agents. Preferred (not required): Python, LLMs, Agent Frameworks, and RAG.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
About Modus
We’re building the future of audit.
Modus Audit is backed by Lightspeed Venture Partners to invest in and modernize accounting firms using Agentic AI. We streamline financial audits from the ground up — starting with real customers and real revenue. We've partnered with our first firm, and are rapidly growing our engineering team to help us build and deploy our agents at scale.
We’re a small, execution-focused team. If you're excited by fast feedback loops, messy real-world data, and applied AI with business impact — we’d love to talk.
Why this role matters
Our core thesis: audits should be faster, more accurate, and more scalable — and agents are the way to get there.
You’ll work directly with our early customers and founders to ship production-grade AI-powered agents. You'll design and own zero-to-one systems across LLM pipelines, document parsing, browser automation, and backend infrastructure. You’ll shape the product and the company.
What you'll do
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Build and deploy AI agents that parse documents, extract entities, cross-check financials, and complete workflows end-to-end
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Work across the stack — from Python backends and vector stores to browser-based agents and internal tools
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Ship fast: iterate on v1s quickly, and come back to compound the wins
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Own real outcomes with our design partners — your work will hit production
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Evaluate and integrate emerging AI frameworks, tools, and best practices
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Help us build the engineering culture you’d want to work in
What we look for
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Strong builder instincts and end-to-end ownership
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Track record of shipping AI/infra/backend features fast (Python preferred)
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Experience or interest in LLMs, Agent Frameworks, RAG, browser automation, or doc parsing
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Bias for action, debugging in prod, and learning from real-world usage
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Not above any task — write the scraper, deploy the server, call the customer
Compensation
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Competitive base salary ($150K–$350K depending on experience)
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Meaningful early-stage equity
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Full healthcare benefits
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In-person office in NYC with team meals, fast iteration cycles, and real user exposure
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