Full Stack Engineer

Millee; San Francisco (CA); On-site; USD 140,000 - 210,000; Full time

Job summary

Millee is seeking an Engineer to join an early-stage, equity-bearing opportunity. You will build and optimize the infrastructure powering AI-driven insights, designing scalable APIs and processing large datasets to enable high-performance AI recruitment performance.

You will shape a serverless, event-driven architecture for real-time data and orchestrate multi-step AI systems, routing tasks across model tiers and ensuring reliability.

Qualifications

• They must have shipped AI features to production.
• Own architecture and core product reliability from day one.
• Strong full stack engineer capable of turning real-world workflows into reliable software.

Responsibilities

• Build and optimize the infrastructure powering AI-driven insights.
• Design scalable APIs and process large datasets efficiently.
• Ensure high-performance systems for AI recruitment performance.
• Design and evolve a serverless, event-driven architecture for real-time data processing.
• Develop multi-step AI systems using orchestration frameworks.
• Route tasks across model tiers (generation vs classification).
• Create event ingestion pipelines for webhooks, transcripts, and CRM activity.
• Improve and scale the AI decision layer that assembles context and generates actions.

Skills

Systems builder

Full stack engineer

Serverless architecture

AI orchestration

Event-driven pipelines

Tools

Mastra

Job description

Millee is the fastest-growing, AI-driven recruitment performance platform in the world.

Built on 10,000 real won and lost recruitment processes, Millee's data shows users what creates success or causes failure in their searches. We join that data with deep context about our customers to find the opportunities worth acting on, and then put agents to work: automating risk analysis, drafting responses, auditing deals for nuance, to run a superior search. It measures what works and gets better every day.

As our Engineer, an early-stage seat with founder level equity, you will build and optimize the infrastructure that powers our AI-driven insights. You will design scalable APIs, process large datasets efficiently, and ensure high-performance systems that help businesses take control of their AI recruitment performance.

Preferred Requirements:

They must have shipped AI features to production and be comfortable owning architecture and core product reliability from day one.

Systems builder

They need to be a strong full stack engineer who can turn messy real world workflows into reliable software systems.

They will design and evolve a serverless, event driven architecture that processes recruiting activity data in real time.

They need experience building multi step AI systems using orchestration frameworks such as Mastra or similar agent frameworks.

They must understand how to route tasks across different model tiers, using large models for generation and smaller models for classification and structured reasoning.

They should be comfortable building event ingestion pipelines that process webhooks, transcripts, and CRM activity into structured signals.

Retrieval systems

They need experience working with retrieval systems that combine proprietary knowledge bases with context aware AI generation.

Reliability mindset

They must design systems with strong failure isolation, retry handling, and durable queues so individual failures never break the pipeline.

They will be responsible for improving and scaling the AI decision layer that assembles context, diagnoses recruiting situations, retrieves expertise, and generates recommended actions for users.