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AI Engineer

MLabs is a full-stack software consultancy working with leading blockchain, AI, and tech startups worldwide.
$150,000 - $250,000
Machine Learning
Mid-Level Software Engineer
In-Person
3+ years of experience
AI

Job Description

We are seeking a motivated AI Engineer to join an ambitious early-stage team building the next generation of conversational AI agents. The platform is an AI-native help desk that enables human agents to work alongside AI, increasing automation over time. The AI agents handle both reactive and proactive automation across various channels like calls, SMS, and email, while maintaining a single, coherent conversation thread.

As an AI Engineer, you will play a pivotal role in shaping the AI engine at the heart of the platform. You'll be responsible for researching and prototyping advanced agentic AI, developing robust production services, and ensuring the AI infrastructure can scale effectively. The role involves building comprehensive monitoring systems, developing test frameworks, and collaborating with backend engineers to integrate AI modules into the broader platform.

The ideal candidate should have hands-on experience building and shipping AI systems at scale, with LLM-based techniques being a plus. You should be comfortable working in a fast-moving startup environment and have a track record of taking ownership and seeing projects through to completion. The position offers competitive compensation including equity and visa sponsorship opportunities.

This is an excellent opportunity for someone who wants to be at the forefront of conversational AI development, working with a small, fast-moving team focused on maximizing conversational automation for high-touch businesses. The role requires on-site presence in San Francisco, offering the chance to work directly with the core team in building and scaling innovative AI solutions.

Last updated a day ago

Responsibilities For AI Engineer

  • End-to-End AI Development: Research and prototype advanced agentic AI, then turn prototypes into robust production services
  • Monitoring & Analytics: Build metrics, dashboards, and alerting to track AI performance and detect issues early
  • Testing & Validation: Develop test frameworks (unit, integration) and validation datasets for continuous evaluation
  • Collaborative Architecture: Partner with backend engineers to integrate AI modules into the broader platform
  • Scaling: Ensure the AI infrastructure can handle growing data volumes and real-time interactions with minimal latency

Requirements For AI Engineer

  • Hands-on experience building and shipping AI systems at scale (LLM-based techniques a plus)
  • Track record of achievement and initiative - someone who sees projects through to completion
  • Comfort working in high-growth, early-stage startup environments
  • On-site in San Francisco, 5 days/week

Benefits For AI Engineer

Equity
Visa Sponsorship
  • Salary: $150k – $250k
  • Equity: 0.20% – 1.20%
  • Visa Sponsorship available (H1B transfers and new visas)

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