🛠 Tech Stack

💼 About This Role

You'll design, build, and deploy intelligent systems across client environments, working across the full AI development lifecycle from prototyping to production. You'll develop RAG pipelines, integrate LLMs, and build agent-based architectures for scalable solutions.

🎯 What You'll Do

• Design and build AI-powered features, pipelines, and automation workflows
• Integrate and fine-tune LLMs, embedding models, and ML systems into production
• Develop and maintain RAG pipelines, vector search, and agent-based architectures
• Write clean code across backend and API layers for AI feature delivery

📋 Requirements

• Strong programming skills in Python
• Hands-on experience building with LLMs (OpenAI, Anthropic, Mistral) via API
• Practical experience with RAG architectures and vector databases
• Familiarity with AI agent frameworks (LangChain, LlamaIndex, or similar)

✨ Nice to Have

• Experience with model fine-tuning, RLHF, or custom training workflows
• Familiarity with MLOps tooling and deployment pipelines
• Exposure to multimodal systems (vision, audio, or document understanding)

🎁 Benefits & Perks

• 🏖️ Remote work across US time zones
• 💵 Competitive pay ($2.5K–$4K per month)

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Application with video submission· 30 min
2. 2Technical interview· 60 min
3. 3Offer· 1 week