🛠 Tech Stack

💼 About This Role

You'll lead the design and deployment of production-grade GenAI and ML systems with a strong emphasis on being hands-on. You will personally build, iterate, and ship systems focused on LLM/SLM optimization for agentic, multi-agent architectures in cloud environments.

🎯 What You'll Do

• Build and ship multi-agent systems from prototype to production
• Write production-quality code for agent orchestration and tool integration
• Fine-tune and deploy SLM models for production usage
• Build Advanced RAG pipelines end-to-end

📋 Requirements

• Deep expertise in LLM/SLM optimization for agent-based systems
• Hands-on experience with context engineering for multi-agent systems
• Experience with Advanced RAG, semantic search, embeddings, and cross-encoders
• Hands-on inference optimization experience

✨ Nice to Have

• Familiarity with enterprise constraints like privacy and security
• Experience with GenAI observability tools
• MS/PhD in CS/ML/NLP/Stats

🎁 Benefits & Perks

• 💰 Competitive base salary
• 🏖️ Comprehensive benefits package
• 🏢 Onsite role in Wilmington, MA

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Interview· 60 min
3. 3Onsite Interview· half day