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Design, build, and productionize scalable Generative AI solutions, integrating LLM APIs into application workflows and developing RAG pipelines and multi-step AI workflows. Collaborate with AI, DevOps, and software engineering teams to evaluate and optimize AI outputs and deliver reliable, accurate, and scalable production solutions.
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 an AI Engineer, you will design, build, and productionize scalable Generative AI solutions, focusing on applied AI engineering and backend development. You will integrate LLM APIs into application workflows, build RAG pipelines and multi-step AI workflows, and optimize AI-generated responses through prompt engineering, debugging, and performance evaluation. Working closely with AI, DevOps, and software engineering teams, you will help deliver reliable, production-ready AI solutions while ensuring quality, accuracy, and scalability.
What do we require from you?
7+ years of software engineering experience, with a strong foundation in software architecture and engineering best practices.
Strong Python skills and proven experience developing and scaling backend services in production environments.
Deep technical knowledge of Generative AI, including LLM APIs, RAG pipelines, multi-step AI workflows, and prompt engineering.
Hands-on experience integrating foundational models into application workflows and using frameworks such as LlamaIndex and embedding optimization techniques.
Ability to evaluate, debug, and optimize AI-generated outputs for accuracy, bias, compliance, and performance.
Experience with cloud platforms such as AWS, Azure, or GCP.
Hands-on experience with Docker, Kubernetes, Git, and CI/CD pipelines.
Advanced English level.
Some of our Perks:
Salary in USD.
100% Remote from Home.
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!
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