🛠 Tech Stack

💼 About This Role

You'll design and deploy LLM-powered applications to extract insights from conversational data for strategic decision-making. You'll work with product and engineering teams to transition GenAI prototypes into scalable production systems. This role combines applied machine learning and modern software engineering in a collaborative, fast-paced environment.

🎯 What You'll Do

• Design, develop, and deploy LLM-based applications for conversational intelligence
• Build multi-step AI workflows including RAG, orchestration, routing, and agent patterns
• Define and implement evaluation frameworks for LLM outputs (quality, safety, reliability)
• Work with large-scale datasets using Spark, Databricks, and Snowflake
• Develop clean, maintainable Python code and contribute to engineering best practices

📋 Requirements

• Bachelor's degree with 5+ years experience (or Master's with 3+) in data science or related field
• Strong proficiency in Python and modern software development for AI systems
• Deep experience with NLP and text-based applications including transformer models and embeddings
• Hands-on expertise with LLM architectures, prompt engineering, and frameworks like LangChain or LangGraph

✨ Nice to Have

• Experience with RAG systems and agent-based AI workflows
• Familiarity with cloud platforms such as Azure, GCP, or Databricks
• Experience deploying AI/ML systems in production environments

🎁 Benefits & Perks

• 💰 Competitive base salary $117,600 – $161,700 + performance bonus
• 🏥 Comprehensive medical, dental, and vision insurance
• 🏖️ Paid time off including holidays, personal days, parental and caregiver leave
• 💻 Remote-first flexibility with home office equipment support
• 📈 401(k) retirement plan with employer support

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Onsite or Virtual Loop· 3 hours