Applied AI Engineer
Designs, deploys, and optimizes AI agents to automate construction permitting workflows. Builds backend/frontend services, APIs, data pipelines, and evaluation systems. Requires 3+ years in software/ML engineering with production AI experience.
About the job
What You’ll Do
- Develop and deploy AI agents that automate permitting workflows end-to-end
- Orchestrate multiple models and tools to create reliable, multi-step AI systems
- Build the internal tools and infrastructure that power and monitor these agents
- Design and implement backend and frontend services, APIs, and data pipelines, integrating AI functionality into user-facing features when needed
- Contribute to system architecture and core platform design with the engineering team
- Design and maintain a suite of evaluations and benchmarks to measure agent accuracy, reliability, and cost-effectiveness
- Optimize inference pipelines and backend systems for speed, scalability, and cost
What We’re Looking For
- 3+ years in software or ML engineering post-BS/MS
- Hands-on experience shipping production AI/ML systems or AI-powered products
- Experience building multi-step ML systems, pipelines, or agentic workflows
- Strong backend and API development skills, with some frontend experience
- Track record of building reliable products with attention to quality and detail
- Startup grit and comfort in fast-moving, evolving environments
What We Offer
- Competitive salary and meaningful equity in a high-growth company
- 100% company-paid base medical, dental, and vision coverage for employees + healthcare FSA
- 401(k) savings plan
- Unlimited PTO and paid family leave
- Home office & equipment stipend
- Daily in-office lunch and dinner provided
- Commuter benefits (pre-tax transit and parking)
Skills
AI Agents, Machine Learning, Ml Pipelines, Backend Development, APIs, Data Pipelines, Frontend Development, Inference Optimization, Agentic Workflows, Evaluation Benchmarks
Similar jobs
ML Engineering jobs
Mirage
New York, NY
Build and deploy agentic systems that power AI-driven creative video workflows. The role requires 5+ years of experience, production ML or agentic pipeline development, context engineering, and expertise in evaluation and agent infrastructure.
Mirage
New York, NY
Build and advance agentic machine-learning systems for multimodal creative tasks, with a focus on video understanding, reasoning, control, and tool use. The role requires strong production ML or agent-pipeline experience and deep knowledge of modern LLM techniques.
Taste Labs
San Francisco, CA
Build evaluation methods, RL environments, agent tooling, and scalable infrastructure that make subjective qualities such as design and taste measurable for frontier AI models. The role requires experience with evaluations, RL environments, ML or post-training, plus strong backend engineering skills.
Mirage
New York, NY
Build and scale generative video and multimodal models, optimizing training and inference for efficiency, throughput, and ultra-low latency. The role requires deep learning systems expertise, strong PyTorch/CUDA experience, and the ability to move research models into production.
Clay
New York, NY
Build and ship production AI agents and the platform infrastructure that makes them reliable, steerable, and measurable. The role requires strong backend fundamentals, production LLM or agent experience, and expertise in evaluations, retrieval, orchestration, or tool-use design.