Full Stack Engineer

Evos; New York (NY); On-site; USD 140,000 - 210,000; Full time

Job summary

Evos is building a platform that lets operators act like experts, with autonomous, AI-enabled workflows that run real business functions. You’ll influence the engine that captures human expertise and codifies it into deployable operators across complex operations.

We look for hands-on engineers who can design data models, APIs, and interfaces while shipping production-grade TypeScript. This role is based in New York, with a strong preference for in-person collaboration, and remote options for

Qualifications

• 5+ years of professional full-stack software engineering.
• 3+ years shipping production TypeScript.
• Experience with async workflows, retries and idempotency.
• Evidence of building scalable enterprise platforms.

Responsibilities

• Build and ship features across the platform end to end, scalable and robust.
• Own key technical and architectural decisions and long-term impact.
• Work with our ML team to bring proprietary action models to market.
• Build AI-native capabilities with performance, security and quality in mind.

Skills

Full-stack TypeScript

Production systems

Cloud platforms

Model training & deployment

AI / NLP tooling

Tools

Convex

Inngest

Clerk

Sentry

AWS

Job description

Evos reached a $1M run rate four weeks after launching, selling to small and mid-sized businesses in legacy industries, among the hardest markets to sell software into. Now we’re on to the next revenue milestone.

Our thesis is simple. Software is becoming the execution layer, not a system of record, and not a tool that waits to be prompted. Legacy sectors account for more than half of global GDP, and the software sold into them has always had the same ceiling: someone still has to manage it, instruct it or prompt it. Evos is changing that.

We codify the expertise of a company’s best operators, connect to their tech stack, and deploy Evos operators that execute the same way those people do. Evos takes over full job roles in complex businesses and executes, so they don’t have to. In these industries, the knowledge that keeps a company running walks out the door when its best people leave. Evos makes it permanent.

Our mission is to change how work gets done in the industries that move the world. If you want a say in what that future looks like, Evos is the right place to be.

Why work at Evos

• You build the engine, not a slice of it. Evos operators are produced by a platform — you build that platform. Every improvement you ship compounds across every operator we ever deploy.
• Your work shows up in the real world. What you build runs freight, fills orders and keeps supply chains moving inside real businesses. The feedback loop is a customer operation, not a dashboard.
• You will work AI-native. Coding agents, multi-agent review and automated QA are how we build every day, and LLM and voice agents are what we ship.

The role

Evos operators build, configure and deploy themselves — an operator goes from first customer conversation to live inside 24 hours. You will build the platform that makes that true: the engine that captures and codifies human expertise — the way people think, act and make decisions — and turns it into a working operator that owns and runs real functions of a business, and eventually the business itself. Systems that work human-out-of-the-loop, with true autonomy.

Our technical vision: we are among the first to have taught systems how to think, act and decide the way experts do, autonomously. The data we capture, our proprietary action models, and how that data is operationalized are the direction we will continue to build in and excel at.

You will be one of our first ten employees, working directly with the founder, our engineering lead, and a quickly growing engineering team. You will work on a platform whose architecture and methods have broken barriers that stood across legacy sectors for decades — and alongside an ML team building Evos proprietary action models and significantly more.

What you’ll do

• Build and ship features across the platform end to end — designing the data models, APIs, informatics and services the platform runs on, built to scale
• Own key technical and architectural decisions, and the maintainability and long-term impact that come with them
• Work with our ML team to bring proprietary action models to market
• Build AI-natively
• Hold the bar on performance, security and quality as the platform and team grow fast
• Support building and managing the engineering department as it grows, and play a key role in the evolution of Evos as a platform and a product

The technical environment

• Real-time, full-stack TypeScript — real-time backend, durable workflow engine, React frontend, one repo
• 200+ integrations into customer ERP, TMS, WMS, CRM, telematics, ticketing, procurement and finance systems
• AI agents in production — LLM and voice-powered operators, daily evaluations, cost, rate and approval guardrails
• Core stack: TypeScript, Python, React, React Router, Tailwind, Convex, Inngest, Clerk, Sentry

You do not need to know our stack already. Strong TypeScript engineers pick up Convex and Inngest in days.

Who you are

• You joined a high-growth startup early — ideally a company that has scaled to Series B or C — and helped build it. You have seen what breaks when a product scales fast, and you want to be earlier this time.
• You have shipped production TypeScript across the full stack — as comfortable designing the data model and APIs as building a polished React UI on top of them.
• You have owned systems, not tickets. You have designed, shipped and run features that real users and real revenue depend on.
• You have made messy external systems reliable — legacy APIs, webhooks, OAuth, rate limits, and what happens when a third party fails at 2am.
• High agency and product sense. Given a loose problem, you design the right system and ship it — no spec, no waiting. When you see something broken, you fix it and bring the team the solution.
• You use AI to do your job. Fluent with modern LLM and agent tooling. This is a hard requirement and we screen for it.

Qualifications

• 5+ years of professional full-stack software engineering — including 3+ years shipping production TypeScript — as comfortable building a polished React UI as designing the data model and APIs behind it.
• 3+ years building and running cloud systems in production — on serverless platforms or a major cloud provider (AWS, GCP, Azure, Vercel or similar). You understand async workflows, retries, idempotency, and what happens when a third-party API fails at 2am.
• Evidence of experience across the model stack — model training and fine-tuning, keeping models up and performing in production, and the construction of proprietary model architectures and systems. Not just calling hosted APIs.

Nice to have

• Built scalable and widely used enterprise platforms with various product suites within
• Software for logistics, supply chain, manufacturing or another physical industry
• A strong eye for design — a rough idea to a clean interface without a designer

The process

We close our process in 7 days. Four steps, sometimes five:

• Intro call with Zain, our Founder Associate — your experience and what you are looking for in a role
• Technical test — practical, built to reflect the actual work
• Technical interview with Vlad Novick, our engineering lead
• Office visit — meet the founder and the rest of the team in New York
• Sometimes: a final conversation with our founder

We will ask for references at the end of the process.

How we work

We work in person in New York by preference, and it is where the company is being built. For senior engineers we will consider remote: US-based means New York at least once a month; international means at least once a quarter, with hours substantially overlapping Eastern Time. 5.5 days a week: Monday to Friday plus a biweekly half-day on Saturday.