Python Developer (LLM Prompting & AI Workflow Specialist)

As an AI Product Engineer, you will be responsible for designing, refining, and optimizing prompts for various LLMs to ensure high-quality outputs. Your role will involve developing and maintaining Python scripts and services to integrate LLM APIs, managing context, prompts, and agent logic. Additionally, you will collaborate with engineering and product teams to translate requirements into prompt-driven AI behaviors and conduct testing and evaluation of prompts, models, and workflows. Your minimum qualifications include strong Python skills, practical experience with LLMs, and the ability to test, debug, and improve prompt behaviors via Python. Key Responsibilities: - Design, refine, and optimize prompts for LLMs (OpenAI, Anthropic, Google, etc.) to achieve high-quality outputs. - Develop and maintain Python scripts and lightweight services integrating LLM APIs, managing context, prompts, and agent logic. - Build LLM-powered workflows and mini-agents using function calling, structured outputs, and reasoning strategies. - Collaborate with engineering/product teams to translate requirements into prompt-driven AI behaviors. - Conduct systematic testing, evaluation, and iteration of prompts, models, and workflows. - Maintain prompt libraries, evaluation frameworks, and test harnesses in Python. - Support integration of LLM workflows into larger systems and debug prompt behaviors, API flows, and logic issues. Minimum Requirements: - Strong Python skills, including writing clean scripting-level code, calling APIs, handling JSON, data flows, and simple automations. - Practical experience working with LLMs, including prompt design, context handling, and reasoning patterns (CoT, ReAct, ToT, etc.). - Experience using LLM APIs and SDKs (OpenAI, Anthropic, Google, etc.). - Understanding of LLM agent concepts such as tool calling, function calling, routing, and structured reasoning. - Ability to test, debug, and improve prompt behaviors via Python. - Strong analytical thinking and attention to detail. - Ability to independently experiment, iterate, and prototype.,