🛠 Tech Stack

💼 About This Role

You'll embed directly with small and mid-size businesses to design and deploy AI agents that solve real operational problems. Your work will transform inefficient workflows into production-grade automated solutions. This role offers the chance to be a trusted technical advisor while building end-to-end AI systems.

🎯 What You'll Do

• Embed with clients to discover operational pain points and map workflows
• Design and build AI agents using LangChain, LangGraph, or similar frameworks
• Develop AI-powered workflows integrating with CRMs, ERPs, cloud platforms
• Own full delivery lifecycle from scoping to deployment and documentation

📋 Requirements

• Python proficiency and familiarity with REST APIs and cloud services
• Hands-on experience with LLM APIs (OpenAI, Anthropic, Gemini)
• Understanding of RAG (Retrieval-Augmented Generation) and agentic patterns
• Ability to work independently in ambiguous, fast-moving client environments

✨ Nice to Have

• Experience with workflow automation platforms (Zapier, Make, n8n)
• Familiarity with vector databases (Pinecone, Weaviate, Chroma)
• Prior client-facing, consulting, or forward-deployed engineering experience

🎁 Benefits & Perks

• 🏖️ Unlimited PTO (inferred from company culture)
• 🏥 Health insurance (inferred)
• 🏦 Retirement plan (inferred)
• 💰 Competitive salary (stated)
• 🚗 Travel reimbursement (40-60% travel required)

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Presentation / Case Study· 60 min
4. 4Offer· 15 min