Location: New York City, NY (On-site, 5 days/week)
Company Stage of Funding: Series A (~$20M total funding; backed by YC, Bessemer, 8VC, General Catalyst)
Office Type: On-site
Salary: $150,000 – $225,000 + Competitive Equity
Visa: H-1B transfers + O-1 sponsorship available (no new H-1B lottery sponsorship)
Our client is building AI infrastructure for the legal industry by automating one of law firms’ most painful workflows: timekeeping and billing.
Their platform uses AI agents, LLM pipelines, and applied automation to eliminate manual time tracking for lawyers, helping firms recover revenue while dramatically reducing operational overhead.
The company has achieved 25x ARR growth in 9 months, is already deployed across 100+ law firms, and is experiencing 20–50% month-over-month growth.
Backed by YC, Bessemer, 8VC, and General Catalyst, PointOne is scaling rapidly and hiring elite engineers to meet overwhelming customer demand.
This is a rare opportunity to join a hypergrowth applied AI company with real product-market fit and direct customer impact.
Build production AI workflows for enterprise legal customers
Design and ship backend-heavy full-stack systems
Develop applied AI pipelines using RAG and LLM integrations
Build custom customer-facing product solutions
Work directly with law firm customers to understand workflows
Translate customer pain points into shipped software
Build enterprise integrations and workflow automation systems
Own technical projects end-to-end
Prototype and deploy production-ready systems quickly
Shape engineering culture at an early-stage startup
Travel onsite to customer locations when needed
Help define product direction through customer feedback loops
2–8 years of software engineering experience
Strong backend or full-stack engineering fundamentals
Production experience shipping software end-to-end
Experience building applied AI / LLM systems
Customer-facing technical experience
Startup or high-growth engineering background
Strong communication and technical clarity
Comfortable owning ambiguous technical problems
Highly autonomous execution style
Willing to work fully onsite in NYC
Experience with RAG systems
LLM frameworks / orchestration tools
Vector database experience
AI workflow automation systems
Forward deployed engineering experience
Startup founder / side-project builder signal
Enterprise customer technical delivery
Python / backend-heavy architecture
Hypergrowth startup experience
Palantir-style FDE experience
Series A–IPO startup engineering
Top-tier engineering brands
Strong entrepreneurial side projects
Customer-facing engineering ownership
Applied AI in production
Backend systems depth
Technical product intuition
Elite CS background
Fast execution velocity
Base salary: $150,000 – $225,000
Equity: Competitive early-stage equity
Visa sponsorship available
$5K relocation support
High ownership from day one
Direct customer exposure
Foundational engineering impact
Exceptional growth trajectory
This is an opportunity to build customer-facing AI systems at one of the fastest-growing applied AI startups in legal tech.
You’ll work directly with customers, ship meaningful production systems quickly, and own the full loop from problem discovery to deployed solution.
If you’re a strong engineer who thrives in ambiguity, enjoys customer interaction, and wants to build applied AI products with immediate real-world impact, this role offers exceptional ownership and upside.