Welcome to Devlane!

We are a dynamic software development company with a strong presence across Latin America. Currently, we specialize in offering staff augmentation services to clients worldwide, with a particular focus on North America.

Joining our team offers you the opportunity to shine and make a significant impact on the projects you work on. Many of our clients are modern small to medium-sized businesses experiencing rapid growth, and they're eager to add core members like you to their teams. This environment ensures you'll stay up-to-date with the latest technology trends.

At Devlane, our values are straightforward: we foster a collaborative environment and prioritize building long-lasting relationships where you can develop your skills as a software engineer and learn from your peers. 
 

What's the role about?

As a Full‑Stack AI Engineer, you’ll design and ship end‑to‑end AI features across our client's
mobile and web platforms. You’ll work with Product, Design, Data, and fellow Engineers to bring
LLM‑powered experiences to life—building everything from backend APIs and retrieval pipelines
to Mobile and Web UI flows. You’ll be hands-on with our TypeScript/Node stack, our AI partners
(OpenAI, Gemini, Anthropic, etc.), and the systems that make our AI safe, reliable, and
delightful.

•   4–8+ years of software engineering experience, with strong TypeScript/JavaScript skills. 
• Solid backend expertise: Node/TypeScript, REST/GraphQL, SQL/NoSQL databases, caching, monitoring. 
• Proven track record of building with LLMs in production (OpenAI, Gemini, Anthropic). (while AI project experience, including prompt engineering and agent design, is desirable, no specific framework is mandatory.)
• Cloud platform experience required — GCP preferred, AWS or Azure also acceptable. 
• Experience building scalable APIs, microservices, and event-driven systems. 
• Comfort working on front-end UIs (Ionic, Angular, React, NextJS). 
• Strong problem-solving skills with a product mindset: user value, iteration, and pragmatic trade-offs. 
• Excellent communication and collaboration across technical and non-technical partners. 
• Thrives in a startup or high-ambiguity environment. 
• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field, or equivalent practical experience.  

Some of our Perks:

• Salary in USD.
• 100% Remote
• 25 days of Paid Time Off per year.
• 8-hour workday, with flexible hours.
• Welcome kit from the brand.
• High-end hardware provided: laptop, mouse, & headphones.
• English classes, virtual library and online courses.
• Contribution bonuses

Ready to take the next step in your career? 

Apply now!