Full Stack Software Engineer - AI Applications
About The Position
This role is for an agent orchestrator who views the IDE as a cockpit for orchestration, not just a text editor. The ideal candidate is productively lazy, automating tasks and letting AI handle the heavy lifting while they focus on architecture and reviewing output. This position requires a strong understanding of fundamentals like data structures, algorithms, distributed systems, and networking, with the ability to fix frameworks and identify incorrect AI output. The role emphasizes first-principles thinking, vision, and high agency, encouraging proactive problem-solving and a bias for action. Engineers are expected to ship v1, learn, and iterate rather than getting stuck in design reviews.
Requirements
- Deep Python proficiency for production systems.
- JavaScript/TypeScript experience with React, Node.js, or equivalent for both frontend and API development.
- AI engineering skills, including experience with LLMs, embeddings, vector stores, RAG, and building agents and evaluation pipelines.
- Experience with AI-assisted development tools and workflows, with a clear understanding of their capabilities and limitations.
- GCP experience, including deployment and operation of services like Cloud Run, Cloud Functions, GKE, BigQuery, and Cloud Storage.
- Proficiency with both relational and NoSQL databases, understanding their appropriate use cases.
- Experience designing and building RESTful APIs and microservices at scale.
- Familiarity with Git, Infrastructure as Code (IaC) tools like Terraform, and CI/CD practices (e.g., Cloud Build).
- BS in Computer Science, Electrical Engineering, or a related field.
- 2+ years of experience building and deploying full-stack applications in production.
- 2+ years of experience with cloud-native platforms (GCP preferred).
- Demonstrable experience building AI agents or applications.
Nice To Haves
- MS degree (not a substitute for shipping software).
- Frontend strength is a big plus.
- Bonus for fine-tuning or AI evaluation work.
Responsibilities
- Orchestrate agents to build applications using AI as the primary method of work, setting the standard for AI-driven development within the team.
- Design and ship AI-powered applications and agents, including RAG pipelines, LLM integrations, and agentic workflows, ensuring production readiness and scalability.
- Design, deploy, and operate cloud-native systems on GCP, taking ownership of architecture, infrastructure-as-code, and CI/CD pipelines.
- Build the integration layer across enterprise SaaS platforms, connecting disparate systems and creatively solving problems with messy APIs and legacy constraints.
- Automate manual processes by writing code or directing agents to eliminate repetitive tasks.
- Enhance other engineers' productivity by building tools, agent workflows, and guardrails that reduce friction.
Benefits
- Immediate medical, dental, vision and prescription drug coverage
- Flexible family care days
- Paid parental leave
- New parent ramp-up programs
- Subsidized back-up child care
- Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments
- Vehicle discount program for employees and family members and management leases
- Tuition assistance
- Established and active employee resource groups
- Paid time off for individual and team community service
- A generous schedule of paid holidays, including the week between Christmas and New Year's Day
- Paid time off and the option to purchase additional vacation time
- Visa sponsorship
- Relocation assistance
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
