Software Engineer

Manifest OS is an AI-native company on a mission to replace the billable hour and make legal services more accessible for American businesses and consumers. We power the next generation of AI-native law firms with one unified global brand, a proprietary technology platform, and a centralized back office — enabling lawyers to eliminate the administrative burden and focus on delivering exceptional outcomes for their clients. Manifest OS has raised a $60M Series A from Menlo Ventures, Kleiner Perkins, First Round, and Quiet Capital.

We're looking for a Software Engineer to help build the legal tech platform powering the next generation of AI-native law firms. You'll own the development of secure client portals and enterprise-grade systems - from architecture to production.

This opportunity is ideal for engineers who want broad scope, high ownership and move nimbly across lanes. You'll work across AI systems architecture and full-stack engineering - eval systems, retrieval, agent orchestration, and optimization, alongside the APIs, data models, and systems that power the core platform.

This is an in-person role - you'll be on-site at our NYC office 5 days a week.

Engineers here move across these areas as needed:

Frontend Architecture

• Translate the design system into components and tokens that make the next screen fast to ship and beautiful by default, by a person or an agent

• Partner with design on what AI-native interfaces should be in a high-stakes domain: progressive disclosure, streaming states, and the patterns nobody's figured out yet

• Define the contracts between backend and UI - data fetching, caching, state boundaries, the choices that make the design hold up against real data

• Own the screens clients and attorneys live in, where a well-set page turns a dreaded process into one that actually feels good to use

Product Engineering

• Own end-to-end features across our legal tech platform - client portals, case management, and the workflows lawyers and clients depend on daily

• Design production-grade APIs, data models, and permission systems for a regulated, high-trust domain

Agent Platform

• Eval systems, retrieval, and agent orchestration - building the infrastructure that measures and improves how our AI agents perform

• Harness engineering - building the tooling and guardrails that let the rest of the company build securely, reliably, and self-serve

Core Platform & Infrastructure

• Database design and backend architecture

• Deploy and operate services on cloud infrastructure

Must-haves:

• 7+ years building production software, with demonstrated depth in at least one area (backend systems, infra, ML/AI systems, frontend or similar)

• Proven track record delivering features that produce measurable business outcomes

• Comfort with relational database design and data modeling

• Hands-on experience deploying and operating services on a major cloud platform

• Fluent with AI coding tools as a core part of your daily workflow

• A track record of self-teaching your way into unfamiliar systems and shipping there

• First-principles and systems thinking: you can reason about a system you didn't build, from the database up through the API to the product surface

• Familiarity with our stack - TypeScript, React, GCP, PostgreSQL

Nice-to-haves:

• Deeply engaged with the AI tooling ecosystem - you follow new model releases, experiment with new tools as they land, and stay current out of genuine curiosity

• Experience with eval systems, retrieval, agent orchestration OR ML in production

• Background building client portals, CRMs, or case management systems

• Familiarity with legal tech or other regulated industries

You treat AI tools as core to how you architect and ship software. You have real depth in at least one area, plus the self-teaching ability to pick up unfamiliar systems and contribute there competently. You move with speed, thrive with ownership, and prefer outcomes over process. You want to build infrastructure that makes legal services more accessible to people.

You do your best work with clear processes and defined guardrails already in place. You're earlier in your journey with AI-augmented development and want more time to build that muscle first.