As an AI Builder, you will design and implement AI-driven solutions that enhance the product development lifecycle and improve developer experience at EarnIn.
Application Software Engineer, Applied AI
🕒 3 days ago
AI SystemsSoftware DevelopmentFull Stack DevelopmentLarge Language Models
📜 Description
- Develop highly reliable software solutions used across SpaceX, including AI-powered applications that accelerate production, flight, and Starlink operations
- Create new applications that improve how SpaceX operates by incorporating modern large language models, agentic systems, and other AI capabilities
- Own the full lifecycle of Applied AI systems: design, evaluation, deployment, monitoring, and iteration from prototype to production
- Deep dive into users' problems to uncover high-leverage AI opportunities and deliver efficient, production-grade solutions
- Architect production systems for agentic workflows, tool-use, multi-agent orchestration, advanced retrieval, and long-context applications that prioritize reliability, safety, and responsible deployment
- Build and maintain rigorous evaluation frameworks and production observability/monitoring for AI quality, safety, latency, and cost
🛠️ Requirements
- Bachelor's degree in computer science, engineering, math, or scientific discipline; OR 2+ years of professional experience building software in lieu of a degree
- 1+ years of experience in full stack development
- Hands-on experience evaluating, deploying, and integrating AI models into production systems
- Proven track record of delivering (or significantly contributing to) end-to-end AI products or production AI-powered features
- Proven track record of shipping real-world AI products from prototype through production deployment and iteration
- Deep hands-on experience with modern LLM techniques: agentic systems, tool-use / function calling, multi-agent orchestration, advanced retrieval architectures, fine-tuning, and structured outputs
- Experience building production evaluation systems (LLM-as-judge, automated eval harnesses, A/B testing, red-teaming) and AI observability/monitoring (tracing, quality metrics, safety, cost)
- Experience designing and implementing production architecture for AI-powered applications with strong emphasis on reliability, safety, and responsible deployment
- Previous experience in AI product design, development, integration, testing, and productionization
- Strong software engineering foundation with expertise in designing production systems (including AI-powered and system-to-system architectures) and a track record of writing clean, maintainable code
Similar jobs
Search more AI Engineer jobsAs an AI Builder, you will develop and deploy agents to automate workflows, enhance recruiting processes, and create internal tools that improve operational efficiency at EarnIn.
As an ML ASIC Design Engineer, you will translate high-level requirements into hardware features, design microarchitectures, and optimize digital ASIC designs for performance.
Join Lyft as a Machine Learning Engineer to develop and maintain systems for estimating ETAs, ensuring low latency and high accuracy for an enhanced user experience.
ML Platform Engineer
Stitchfix👥 1001 - 5000 employees🏢 Apparel & Fashion
As an ML Platform Engineer at Stitch Fix, you will play a key role in building and maintaining the critical infrastructure that powers machine learning and AI across our organization.