AI Solution Engineer
Agile Six ApplicationsFull Time
Mid-level (3 to 4 years), Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
Candidates must be based in the Buenos Aires area, but there is no in-office requirement.
The role requires 2-5 years of software experience, strong proficiency in Python and Golang, hands-on experience with generative AI including LLM APIs and frameworks, hands-on with OpenTelemetry and distributed tracing, and familiarity with AI frameworks like CrewAI, Langchain, Langgraph, DiFy, and LiteLLM.
Arize AI provides unlimited paid time off, a generous parental leave plan, and additional support for mental and wellness.
Actual compensation is determined based on transferable work experience, skill sets, and qualifications, but no specific salary range is provided.
Strong candidates are great debuggers, creative problem solvers, fast learners, independent, and resourceful, with bonus for customer-facing experience, building GenAI applications, open-source contributions, and startup experience.
AI observability and model evaluation platform
Arize AI provides a platform focused on AI observability and evaluating language models. The platform allows companies to monitor, troubleshoot, and assess the performance of various machine learning models, including those used for natural language processing, computer vision, and recommendations. Users can access analytics and workflows that help identify and resolve issues within their AI systems, ensuring optimal performance. Key features include task-based evaluations for aspects like hallucination and relevance, as well as tools for visualizing query and knowledge base embeddings to enhance retrieval accuracy. Unlike many competitors, Arize AI specifically targets the needs of top AI companies, offering tailored solutions for continuous improvement of their models. The goal of Arize AI is to empower these companies to enhance their AI capabilities through effective monitoring and evaluation.