Applied AI Engineer

Applied AI Engineer
Location:San Francisco New York or Remote USA

Onsite/Remote Full-time

We arent building another chatbot or a simple copilot; we are building the future of the digital workforce. Our mission is to create autonomous AI employees that function as full-fledged teammates. Our first Ava is an AI Business Development Representative (BDR) currently supporting hundreds of companies. She doesnt just assist with tasksshe researches leads crafts emails in a customers unique voice manages her own deliverability infrastructure and handles meeting bookings autonomously.

The Role:

As our third Applied AI Engineer you will join a high-growth YC-backed team (currently at $8M ARR) to build the next generation of AI workers. You will tackle massive engineering challenges as we develop Ava 2.0 a step-change in autonomous capability. Reporting directly to the CPTO you will have a direct hand in product direction and the architectural backbone of our agents.

Key Responsibilities:

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

• 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).

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

Due to the high volume of applications we anticipate we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search.

Commitment to Equality and Accessibility:

At MLabs we are committed to offer equal opportunities to all candidates. We ensure no discrimination accessible job adverts and providing information in accessible formats. Our goal is to foster a diverse inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing

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Required Experience:

IC