🛠 Tech Stack

💼 About This Role

You'll bridge deep data engineering expertise with emerging AI capabilities to build production-grade AI-powered systems and agentic frameworks that unlock insights at scale across Upwork. Your work will democratize data access and enable faster decision-making for analysts and stakeholders company-wide.

🎯 What You'll Do

• Design and implement scalable agentic frameworks coordinating multiple AI agents.
• Build and optimize natural language query solutions for self-service data access.
• Develop evaluation frameworks for LLMs and prompts to improve accuracy and scalability.
• Integrate AI orchestration with Python, SQL, and Snowflake pipelines.
• Contribute to AI-powered summarization and explanation tools for reporting and insights.

📋 Requirements

• Proven experience delivering AI-powered data systems in production with LLMs and prompt engineering.
• Strong foundation in modern data engineering with proficiency in Python, SQL, and Snowflake.
• Demonstrated ability to design agentic orchestration frameworks that scale across diverse scenarios.
• Collaborative problem-solver with strong communication skills.

✨ Nice to Have

• Experience with AI-powered summarization and explanation tools.
• Cross-functional collaboration with product, analytics, and business teams.
• Growth mindset excited to learn and iterate.

🎁 Benefits & Perks

• 💰 Annual bonus or sales incentive plan
• 📈 Long term equity incentive program
• 🏢 Hybrid work model with 3 days in office
• 🌍 Global talent network access

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Screen· 45 min
3. 3Onsite Interview· 1.5 hours