Yuma AI (YC W23)
AI Product Focus - Senior Full Stack / Rails Engineer (Boston)
Yuma AI (YC W23), Boston, Massachusetts, us, 02298
AI Product Focus - Senior Full Stack / Rails Engineer (Boston)
1 day ago Be among the first 25 applicants
This range is provided by Yuma AI (YC W23). Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range $1.00/yr - $150,000.00/yr
About Yuma AI Yuma is building a next-generation orchestration platform that deploys autonomous AI agents dedicated to customer support in e-commerce. We already support 150+ paying merchants and help them automate up to 80% of their customer tickets, freeing human agents for higher‑value conversations. Founded by Guillaume Luccisano (3rd‑time YC founder) at the end of 2022, Yuma is one of the leaders in the AI Support Automation space with 10+ consecutive months of double‑digit growth. We are now a team of 25 passionate and ambitious people based between Paris, Barcelona and Boston and have grown revenue 5x in 2025. We aim to repeat this trajectory in 2026. The scale‑up phase is fully underway.
About The Role This is a foundational role. You will be joining Yuma as one of the core engineers on a tight, high‑performing team of 5. We move fast, iterate aggressively, and care deeply about product quality and user value. Over the past two years, we’ve built an impressive amount of product surface area, AI systems, and automation. Yet what lies ahead is even bigger. As we scale our platform, models, and AI agents, your work will have a direct and immediate impact on the experience of thousands of users.
This role goes far beyond classical backend development. You will work across the full product lifecycle: new features, A/B tests, model integrations, AI agent pipelines, and performance optimization. If you enjoy working at the intersection of backend engineering, product iteration, and applied AI, you will thrive here.
Backend Engineering
Architect, build, and scale large Ruby on Rails applications
Own major systems within our Rails API, including performance, reliability, and maintainability
Manage PostgreSQL at scale: schema design, indexing, performance diagnostics
Maintain and optimize Redis + Sidekiq pipelines for high‑throughput workloads
Lead backend‑heavy feature projects, from design to deployment
AI / LLM Systems
Integrate, evaluate, and iterate on LLM providers and models
Design systems that manage non‑deterministic model outputs safely and predictably
Build and own A/B tests, eval pipelines, and agentic workflows
Optimize for latency, reliability, and cost across LLM‑heavy features
Contribute directly to prompts, agents, and AI system architecture
Product & Full‑Stack Contribution
Collaborate tightly with founders and engineers to define product requirements
Jump into frontend (Next.js/React) when needed to ship features end‑to‑end
Run rapid product iterations: fast feedback loops, experimentation, data‑driven decisions
Maintain a high bar for product quality while optimizing for speed of execution
The Ideal You
You have 5–10+ years of experience building and scaling production Rails applications
Rails has no secrets for you: you know how to ship quickly and safely
You are pragmatic: you make thoughtful trade‑offs that maximize user value and iteration speed
You naturally take ownership and thrive in high‑velocity environments
You have recent, hands‑on experience with LLMs and already use AI in your day‑to‑day workflow
You’re comfortable navigating ambiguity, experimenting, and working with non‑deterministic systems
You can contribute across the stack when needed (backend‑first, but not backend‑only)
You deeply care about product quality, speed, and delivering a great user experience
The Alternative You If you’re still early in your career but see yourself becoming the engineer described above within the next 2–3 years, don’t hesitate. We consistently leave room for raw talent and high potential, especially for people who learn fast, care deeply, and want to grow.
Why Yuma?
High impact with ownership from day one: join a small, international engineering team where every feature you ship and every solution you design is directly visible in production.
Competitive compensation based on experience and stock options
Fast growth = fast learning curve: in this hybrid engineering role, you’ll quickly gain exposure to AI, product iteration, customer workflows, and cross‑functional problem-solving
Work closely with founders and product/engineering leadership: your ideas and your ownership will directly influence the roadmap.
A culture of ownership, transparency, and continuous improvement: we move fast, iterate constantly, and empower people to grow
Referrals increase your chances of interviewing at Yuma AI (YC W23) by 2x.
#J-18808-Ljbffr
This range is provided by Yuma AI (YC W23). Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range $1.00/yr - $150,000.00/yr
About Yuma AI Yuma is building a next-generation orchestration platform that deploys autonomous AI agents dedicated to customer support in e-commerce. We already support 150+ paying merchants and help them automate up to 80% of their customer tickets, freeing human agents for higher‑value conversations. Founded by Guillaume Luccisano (3rd‑time YC founder) at the end of 2022, Yuma is one of the leaders in the AI Support Automation space with 10+ consecutive months of double‑digit growth. We are now a team of 25 passionate and ambitious people based between Paris, Barcelona and Boston and have grown revenue 5x in 2025. We aim to repeat this trajectory in 2026. The scale‑up phase is fully underway.
About The Role This is a foundational role. You will be joining Yuma as one of the core engineers on a tight, high‑performing team of 5. We move fast, iterate aggressively, and care deeply about product quality and user value. Over the past two years, we’ve built an impressive amount of product surface area, AI systems, and automation. Yet what lies ahead is even bigger. As we scale our platform, models, and AI agents, your work will have a direct and immediate impact on the experience of thousands of users.
This role goes far beyond classical backend development. You will work across the full product lifecycle: new features, A/B tests, model integrations, AI agent pipelines, and performance optimization. If you enjoy working at the intersection of backend engineering, product iteration, and applied AI, you will thrive here.
Backend Engineering
Architect, build, and scale large Ruby on Rails applications
Own major systems within our Rails API, including performance, reliability, and maintainability
Manage PostgreSQL at scale: schema design, indexing, performance diagnostics
Maintain and optimize Redis + Sidekiq pipelines for high‑throughput workloads
Lead backend‑heavy feature projects, from design to deployment
AI / LLM Systems
Integrate, evaluate, and iterate on LLM providers and models
Design systems that manage non‑deterministic model outputs safely and predictably
Build and own A/B tests, eval pipelines, and agentic workflows
Optimize for latency, reliability, and cost across LLM‑heavy features
Contribute directly to prompts, agents, and AI system architecture
Product & Full‑Stack Contribution
Collaborate tightly with founders and engineers to define product requirements
Jump into frontend (Next.js/React) when needed to ship features end‑to‑end
Run rapid product iterations: fast feedback loops, experimentation, data‑driven decisions
Maintain a high bar for product quality while optimizing for speed of execution
The Ideal You
You have 5–10+ years of experience building and scaling production Rails applications
Rails has no secrets for you: you know how to ship quickly and safely
You are pragmatic: you make thoughtful trade‑offs that maximize user value and iteration speed
You naturally take ownership and thrive in high‑velocity environments
You have recent, hands‑on experience with LLMs and already use AI in your day‑to‑day workflow
You’re comfortable navigating ambiguity, experimenting, and working with non‑deterministic systems
You can contribute across the stack when needed (backend‑first, but not backend‑only)
You deeply care about product quality, speed, and delivering a great user experience
The Alternative You If you’re still early in your career but see yourself becoming the engineer described above within the next 2–3 years, don’t hesitate. We consistently leave room for raw talent and high potential, especially for people who learn fast, care deeply, and want to grow.
Why Yuma?
High impact with ownership from day one: join a small, international engineering team where every feature you ship and every solution you design is directly visible in production.
Competitive compensation based on experience and stock options
Fast growth = fast learning curve: in this hybrid engineering role, you’ll quickly gain exposure to AI, product iteration, customer workflows, and cross‑functional problem-solving
Work closely with founders and product/engineering leadership: your ideas and your ownership will directly influence the roadmap.
A culture of ownership, transparency, and continuous improvement: we move fast, iterate constantly, and empower people to grow
Referrals increase your chances of interviewing at Yuma AI (YC W23) by 2x.
#J-18808-Ljbffr