Sr. AI Engineer

Role overview Design, build, and bring generative AI capabilities into production, with a focus on backend systems and applied AI engineering. You will connect large language models to application workflows, develop retrieval-augmented and multi-step processes, and work with engineering and operations teams to deliver reliable, scalable services.

Responsibilities - Build and scale production backend services in Python. - Integrate language model APIs and foundation models into applications. - Develop retrieval-augmented generation pipelines and multi-step AI workflows. - Improve model responses through prompt design, debugging, and performance evaluation. - Assess and address output accuracy, bias, compliance, and performance concerns. - Collaborate with AI, DevOps, and software engineering colleagues on production readiness.

Requirements - At least seven years of software engineering experience and a solid grasp of architecture and engineering practices. - Strong Python skills and experience operating backend services in production. - Deep practical knowledge of generative AI, including LLM APIs, RAG, multi-step workflows, and prompt engineering. - Experience integrating foundation models, using LlamaIndex or similar frameworks, and optimizing embeddings. - Familiarity with at least one major cloud platform: AWS, Azure, or GCP. - Hands-on experience with Docker, Kubernetes, Git, and CI/CD. - Advanced English proficiency.

Benefits and work setup This is a fully remote role for candidates based in Latin America. The package includes USD compensation, 25 paid days off annually, flexible hours within an eight-hour workday, and supplied computer equipment. Learning support includes English classes, a virtual library, and online courses; contribution bonuses are also offered.