AI Engineer
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Role details
Tech stack
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Job description
(Primary: Python, OOP, AI concepts | Tools: Python, APIs, internal platforms) * Work with LLMs and prompt engineering to build, test, and optimize AI workflows; understand strengths, limitations, and practical use cases of generative AI. (Primary: Prompting, LLM experience | Tools: OpenAI/LLM tools) * Deliver rapid prototypes and solutions - Comfortable executing tasks quickly and iterating within tight timelines (24-48 hour turnaround when needed). (Primary: Execution speed, ownership) * Collaborate closely with stakeholders - Quickly understand requirements from meetings and translate them into technical deliverables. (Primary: Communication, problem solving) * Work with data using SQL to extract, validate, and support AI use cases across multiple environments. (Primary: SQL | Secondary: Data analysis) * Nice to have: Exposure to ML workflows, automation frameworks, or cloud environments. (Secondary: ML, cloud platforms)
Requirements
- Design and implement AI-driven solutions using Python and object-oriented programming to support internal applications and automation initiatives.
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