Company name will be shared upon confirmed interview

Ruby on Rails Engineer for a Fast-Growing Enterprise Sustainability Platform

New York, New York, United States (REMOTE)

A profitable, fast-growing technology company transforming how enterprises manage the lifecycle of their IT hardware. Through its end-of-life management platform, it helps organizations securely repurpose technology instead of simply recycling it—reducing electronic waste, extending device lifecycles, and expanding access to affordable technology worldwide.

Salary up to:US$6,500

Timezone: GMT-5

Industries: Software Development , Hardware, Electronics

Website:sensitive

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The role offers a unique opportunity to combine strong Rails expertise with hands-on AI innovation in a real-world, high-impact environment. You’ll have the opportunity to build and ship features across a Rails backend and React apps while leading AI-driven initiatives such as intelligent support, evaluation, and automation. The position focuses on designing reliable pipelines, leveraging historical data for decision-making, and developing agents that can safely act within the platform. As the main AI advocate, you’ll help shape architecture and elevate AI fluency across the team.

Tech Stack

RReact

RRuby On Rails

LLMs

5+ years in Ruby on Rails

Hands-on experience shipping LLM features to production — retrieval systems, multimodal models, structured output. Part of your day-to-day, not a course you took.

Experience building evaluation harnesses for AI systems, not just the features themselves.

Comfortable working across the stack — enough React to test and troubleshoot own work in the frontend.

Demonstrated judgment on where AI doesn't belong — since these systems move physical inventory, knowing what to leave alone matters as much as knowing what to automate.

Every job requires English proficiency, being based in LATAM.

Interview process

Time to hire:8-10 days

BEON.TECH ASSESSMENT STAGE

Technical Interview

1 hr

Initial Interview

30 min

THE CLIENT STAGE

Initial Screening

45 min

Technical Interview

1:15 hr

We are committed to provide equal opportunities

BEON.tech connects the brightest Latin American talent with the most innovative and disruptive U.S. companies. You'll get access to a custom vetted pool of full-time, long-term, remote software jobs with compensation comparable to U.S.-based positions. To join BEON.tech is to be in a devs-first company, which means you are the priority when it comes to decision-making, client selection, and growth planning. Develop your career at the pace you deserve.

Trip to Headquarters in Buenos Aires

A US$ 1,000 welcome package to get you started with the right gear

USD compensation comparable to U.S.-based positions

English conversation club & workshops

Health insurance

Psychotherapy sessions

Flexible payments in crypto, wire transfer, Wise, PayPal, or Payoneer

Unlimited reskilling in Udemy, Education IT & O'Reilly

Internet service

AI Tools & Learning Program

Co-working spaces

Paid time off

Participate in weekly challenges and win quarterly prizes.Top performers earn US$750 (1st place) and US$350 (2nd place).

In this role, you'll be expected to take ownership of the following responsibilities as part of your day-to-day work:

Platform Engineering Ship product features across a Rails backend hosted on Heroku and two React apps hosted on Vercel. Work in a codebase that runs a physical operation — state machines driving warehouse workflow, feature flags, and a long tail of third-party integrations. Help shape where the architecture goes next as we work through a roadmap full of new products and features.

AI-Assisted Support — where you'd start Build triage and classification so incoming requests route themselves. Implement semantic dedup so recurring questions resolve from precedent instead of reaching a person twice. Ground draft replies in answers we've actually given before, rather than generating them fresh. Route tickets into Linear automatically when they turn out to be bugs, with the context already attached. Design a confident escalation path to a human, and measure honestly how often it fires.

AI Evaluation & Reliability Build the evaluation layer that lets us measure every model change before it ships, against real warehouse data with known answers. Turn human overrides into signal for the next version rather than a shrug. Bring every surface to one shared understanding of our grading logic. Own the reliability of pipelines where a single misread character — a letter means a device we can't track.

Retrieval & Reasoning from Precedent Move our models from working oﬀ a rubric to working oﬀ precedent: what happened to the thousand devices most like this one. Design retrieval over a decade of data on devices, grades, and real resale outcomes. Make the call on what infrastructure this actually needs — we'd rather you talk us out of a vector database than into one.

Agents That Act Build agents that operate inside our domain: look up a device, check a shipment, update a record, draft a customer update. Extend the same approach to engineering work — writing code, suggesting changes, reviewing. Design the guardrails that make all of that safe to run.

Raising the Floor for the Team Make AI fluency the norm here rather than something concentrated in one person. Build shared context so engineers work toward a common goal instead of rediscovering the same things in silos. Set the standard by example — six months in, other engineers should work diﬀerently because of how you work.

Year founded: 2013

Company size: 51-250

Company type: private

Key details to catch your eye

Trusted by leading companies including Instacart, Lyft, Qualtrics, Spotify, and X.

Mission-driven organization reducing e-waste by extending the life of enterprise hardware.

Opportunity to build products used by large enterprise customers to manage secure, scalable hardware operations.

Culture

The Rigatoni Rule — every relationship is treat like a family dinner, investing in the lifetime value of customers and partners to build trust today and spark serendipity tomorrow.

Work with your hands — the team rolls up its sleeves, figures things out, and values building without a blueprint, fixing, improving, and getting things done.

Show up — human connection is its superpower, prioritizing in-person presence and face-to-face relationships as a genuine differentiator.

No excuses — through resilience, resourcefulness, and a "Yes, and" mindset, the team turns setbacks into comebacks, holding each other to a high bar while supporting one another as people first.

Earn it — the company values grit and perseverance, treating the journey itself as the reward and finding real growth and confidence along the climb.

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Ruby on Rails Engineer for a Fast-Growing Enterprise Sustainability Platform

Requirements

Tech Stack

Interview process

Benefits

About the Role

About the company

Key details to catch your eye

Culture

Ruby on Rails Engineer for a Fast-Growing Enterprise Sustainability Platform

Requirements

Tech Stack

Interview process

Benefits

About the Role

About the company

Key details to catch your eye

Culture