Applied AI Engineer

MLabs •

Actively Hiring

Full-time Posted 7 months ago

Responsibilities

check_circle Model Strategy: Evaluate and select LLMs, balancing the trade-offs between cost, latency, reliability, and accuracy for specific tasks
check_circle Agent Architecture: Design prompt frameworks and agent behaviors for complex workflows including email generation, web research, and CRM integration
check_circle Workflow Optimization: Build and refine multi-step agent chains using RAG, web search, and tool-use (calendars, APIs, etc.)
check_circle Infrastructure & Safety: Drive choices for orchestration, persistent memory, and "eval loops" while building the guardrails that ensure AI safety and trust
check_circle Future Modalities: Explore and deploy emerging tech, from voice AI to multi-modal reasoning, to make our Artisans feel truly human-like

Experience: 2+ years of experience shipping production-grade AI products, either at an app-layer startup or on a foundation model team
Technical Depth: Deep hands-on experience with agents, function calling, RAG pipelines, or self-healing workflows (e.g., LangChain, ReAct, OpenAI Tools)
Prompt Engineering: Strong background in prompt design, chaining, and retrieval systems
Operational Excellence: Proven ability to own the latency, reliability, and cost of LLM-powered systems in a live environment
Communication: Excellent verbal and written communication skills with a penchant for directness and candor
Location: Based in San Francisco, New York, or Remote (USA)

check_circle Founder Mindset: We empower you to take initiative, challenge ideas, and push for 10x outcomes
check_circle Impact-Driven: We focus on the 80/20 rule—killing sunk costs quickly and focusing on what moves the needle for our customers
check_circle High Standards: We care about the details, from the elegance of the code to the quality of the product copy
check_circle No Drama: We maintain a "winning team energy"—low ego, high positive vibes, and a genuine love for building
check_circle Growth: Work at a fast-scaling startup ($35M+ raised) with a clear path to market leadership in the AI worker space

Fulltime Remote Ai Ai Engineer Robotics

Industry Ai

HQ San Francisco, US