AI Engineer - Python, LLM libraries, AI third-party services, AWS

April 3

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Believe Solutions

Believe Solutions is a company that specializes in building high-performance remote engineering teams by collaborating closely with partners rather than simply serving clients. With access to top university graduates in Latin America, they utilize a robust assessment process to select and match engineering talent, ensuring optimal technical and cultural fit for projects. Believe Solutions focuses on delivering tailored end-to-end technology solutions through meticulous project evaluation and management, demonstrating commitment to quality and teamwork.

πŸ“‹ Description

β€’ Collaborate closely with cross-functional teams, including data scientists, software engineers, and product managers, to develop and improve scalable AI systems. β€’ Research, evaluate, and integrate new AI technologies, frameworks, and tools to improve payment systems' efficiency, security, and performance. β€’ Build and deploy AI solutions using a stack that features Python, LLM libraries, and AI third-party services and AWS services.

🎯 Requirements

β€’ Bachelor's Degree in Computer Science, Engineering, or a related field. β€’ 5+ Years of experience working with Python. β€’ 3+ Years of experience working with Cloud infrastructure (AWS, Azure, or GCP). β€’ Experience with Docker. β€’ Familiarity with Architecture for LLM Applications and Prompt Engineering techniques/patterns. β€’ Evaluation and observability of generative AI applications. β€’ Experience with DevOps best practices, including version control (Git), infrastructure as code (IaC), and continuous integration/continuous deployment (CI/CD). β€’ Experience applying scalability patterns (caching, parallelism, routing, asynchrony, decoupling, etc). β€’ Advanced English Level is required for this role as you will work with US clients. Effective communication in English is essential to deliver the best solutions to our clients and expand your horizons.

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April 2

GitLab

1001 - 5000

Technical Architect at GitLab overseeing Professional Services projects and ensuring customer expectations are met.

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