AI Engineer (Python)

TL;DR

AI Engineer (Python): Building and improving AI-driven operational systems with an accent on prompt engineering, observability, and deterministic fallbacks for reliable production outputs. Focus on designing structured LLM classification services, implementing robust error handling for API integrations, and managing the migration to sovereign model runtimes.

Company

hirify.global is a technology services company delivering custom software engineering and digital transformation solutions.

What you will do

• Develop and maintain AI classification and briefing services using FastAPI.
• Design structured prompt templates for signal classification and daily briefing generation.
• Implement observability layers to monitor API calls, latency, and model output quality.
• Build robust fallback logic to ensure system reliability during model API outages.
• Create frameworks to evaluate classification precision against ground truth datasets.
• Plan and execute the migration path from initial LLM runtimes to sovereign model runtimes.

Requirements

• Proven experience shipping LLM-based features for production environments.
• Deep expertise in Python, specifically async API handling and retry logic.
• Strong experience with structured output prompting (e.g., JSON mode) and system message design.
• Proficiency in LLM evaluation metrics and human-AI agreement measurement.
• Knowledge of structured output validation using Pydantic.
• Experience with observability and anomaly detection for AI systems.

Nice to have

• Familiarity with open-weight sovereign models like Falcon or Llama.
• Experience with Docker for deploying AI service components.
• Ability to manage token budgeting and context window constraints.

Culture & Benefits

• Paid vacation, sick days, and floating holidays.
• Compensation for sports and insurance.
• English language classes provided.
• Support for charity initiatives.
• Professional training and development compensation.