We are looking for a Python Developer with strong AI prompt engineering skills to build intelligent automation tools for our SaaS platform. This role goes beyond traditional software developmentyou will be responsible for:

Extracting structured data from our databases
Crafting optimized prompts using that data for OpenAIs API
Retrieving and processing AI-generated insights
Building automated workflows to integrate these insights at scale

This role is ideal for someone who understands both data engineering and AI communicationleveraging structured data to create effective prompts that yield high-quality AI responses.

Primary Responsibilities/Essential Functions

AI Prompt Engineering & Optimization
- Design, test, and refine prompts for OpenAIs API to ensure accuracy, relevance, and structured outputs
- Develop dynamic prompts that adapt to different product categories, business rules, and warehouse conditions
- Apply techniques like few-shot learning, chain-of-thought prompting, and contextual prompting to improve AI performance
- Debug and iterate on AI-generated responses to reduce hallucinations and improve consistency
Data Retrieval, Processing & Structuring
- Connect to and query SQL/NoSQL databases to retrieve millions of product records and warehouse data
- Clean, transform, and structure data before passing it to OpenAIs API
- Ensure high data integrity for AI-driven insights
API Integration & Workflow Automation
- Integrate OpenAIs API with structured data sources for real-time and batch processing
- Automate large-scale AI-powered workflows to handle high volumes of data interactions
- Design error-handling and retry mechanisms for reliable API integration
Scalability & Performance Optimization
- Build high-performance, scalable data pipelines to process AI results efficiently
- Optimize prompt response times and API cost efficiency
- Use caching (e.g., Redis) and parallel processing to enhance performance
Collaboration & Documentation
- Work closely with data engineers, product teams, and AI specialists to integrate AI-driven insights
- Document workflows, code, and prompt strategies for maintainability and optimization

Python Expertise 3-5 years of experience with Python for data handling, API interactions, and automation
Database Querying Strong SQL & NoSQL skills for retrieving and structuring large datasets
OpenAI API & LLM Experience Experience or strong interest in working with OpenAIs API (GPT models) and prompt engineering
AI Prompt Optimization Understanding of how to structure AI prompts for clarity, accuracy, and efficiency
API Integration & Automation Experience in RESTful API interactions and processing structured responses
Data Processing & Transformation Proficiency in pandas, numpy for cleaning and preparing data before AI inference
Scalability & Performance Optimization Familiarity with asynchronous programming, parallel processing, caching
Version Control & CI/CD Hands-on experience with Git, Docker, CI/CD pipelines

Preferred Skills

Experience fine-tuning OpenAI models or custom LLM deployment
Hands-on experience with big data tools (e.g., Snowflake, BigQuery, Databricks)
Familiarity with asynchronous processing (asyncio, Celery) for high-volume API calls
Experience in pricing automation & AI-powered decision-making

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AI Prompt Engineer & Python Developer