Staff AI Engineer

📋 Description

• Partner with client executives to translate ambiguous business problems into enterprise AI solution
• Design and build scalable backend systems, data pipelines, and APIs integrating LLMs, agentic
• Implement multi-agent orchestration frameworks and advanced retrieval mechanisms (vector DBs
• Deploy and manage cloud-native AI applications across AWS, GCP, Azure, or Databricks using Docker
• Instrument systems with LLM telemetry, cost-tracking, security guardrails, and systematic
• Fine-tune prompts and optimize inference latency using caching, quantization, and cost-reduction

🎯 Requirements

• 8+ years of experience in Software/ML Engineering, with 3+ years specifically focused on production
• Deep hands-on experience building production systems with Generative AI frameworks (LangGraph
• Proven ability to architect and scale complex backend microservices and APIs using Python (FastAPI
• Hands-on expertise building, deploying, and managing cloud-native applications on AWS, GCP, Azure
• Experience implementing LLM telemetry, cost-tracking, security guardrails, and systematic
• Exceptional ability to structure ambiguous client problems into clear technical requirements and

🎁 Benefits

• Ownership through equity participation.
• Annual company retreat.
• Education bonus for continuous learning.
• Company-wide winter break.
• Paid time off.
• Optional in-person events and meetups.