Our client, an AI-driven B2B enterprise startup, is seeking a Senior or Staff AI/Software Engineer to join their team.
The Role
This role is ideal for someone who thrives on ownership, thinks in systems, and enjoys solving complex technical problems. You will design, build, and scale the infrastructure powering the company's AI agents while working closely with the founders on the most impactful engineering decisions shaping the platform.
What You'll Work On
Much of the platform is foundational infrastructure with applications that extend beyond the restaurant industry. Key challenges include:
Self-healing integrations
Businesses often rely on 8–15 different software tools, many without APIs. The platform uses browser-use and computer-use agents to connect to these systems automatically. When a vendor changes their interface, the system must detect the change and repair itself without disruption. You will help build the agent layer that enables reliable integrations at scale across thousands of locations.
Cross-system reconciliation
Financial and operational data flows across multiple systems—including POS platforms, payment processors, and banking systems—which often disagree on details. Locations, employees, transactions, and inventory frequently appear under different names or timestamps. You will contribute to building the engine that resolves these inconsistencies using fuzzy matching, entity resolution, and scalable data infrastructure.
Perpetual accounting and intelligent accrual logic
Most businesses close their books monthly but require real-time visibility into performance. Moving toward a continuous close requires handling edge cases around payroll, rent, inventory, and expense timing. You will help build systems that make daily financial reporting reliable and trustworthy.
Natural language to workflow automation
Operators can describe operational processes in plain English, and the system translates those instructions into automated workflows that map data across systems and run on a schedule. You will help design the architecture that powers this abstraction.
AI agent experience across channels
Employees communicate across chat, email, SMS, and phone. Building an AI agent with persistent context and memory across all of those channels is a significant design and infrastructure challenge that you will help solve alongside the CTO.
Key Responsibilities
Design and implement scalable backend architecture that supports both current product needs and long-term platform vision
Apply first-principles thinking to complex technical challenges and evaluate trade-offs between speed, reliability, and scalability
Establish engineering best practices around code quality, testing, CI/CD, and monitoring
Collaborate closely with founders and product leadership to align technical architecture with business goals
Mentor mid-level and junior engineers and help foster a high-quality engineering culture
Own projects end-to-end, from initial concept through deployment and iteration with customers
What Were Looking For
6–10 years of experience as a backend-heavy engineer at high-quality startups or scale-ups
A strong promotional trajectory at respected early-stage companies (joined between Seed and Series C) or meaningful tenure at high-performing scale-ups
Experience building production systems end-to-end, including large-scale infrastructure and examples of product or business-oriented engineering thinking
Background at strong engineering organizations is highly valued
Former founder or founding engineer experience or clear entrepreneurial drive is a strong plus
CS or adjacent STEM degree with rigorous coding focus (top-tier universities preferred)
Strong full-stack fundamentals with a backend focus (roughly 50/50 full-stack with a backend lean)
Experience with the core stack is preferred: Python, PostgreSQL, TypeScript, React, and GCP
Self-starter with an ownership mindset, capable of independently driving projects in a fast-paced startup environment
Evidence of exceptional ability or spikes in excellence (top universities, highly selective engineering teams, competitive programming such as IOI/ICPC, etc.)
Why Join
Work on a technically challenging problem at the intersection of AI, automation, and real-world business operations
Join a high-growth company with strong traction, including ~$10M ARR, 3x year-over-year growth, and 300+ brands using the platform
Build foundational infrastructure connecting finance, marketing, and operations through a unified data and AI layer
Work directly with founders and leadership to shape the platforms architecture and long-term technical direction
ech Stack
TypeScript, React, Python, GCP, Django, PostgreSQL
