Job description
We’re on a mission to empower people to build careers on their terms. What that means is building the career co-pilot that finally puts people, not companies, in control of their professional journey. We’re reimagining what an agentic, intelligent system for career growth can be, and we need an engineer who specializes in interactive front-end development with AI integration.
“Over 3 million people have already signed up for Teal. We’ve built an incredible foundation, and now we’re ready to take things to the next level. This isn’t just another SaaS role. It’s a chance to create a new category: an AI-native career agent with real-time, streaming interactions. You will report directly to our CEO and shape how individuals engage with their work lives.”
If you’re excited about using AI to level the playing field in careers and pushing the boundaries of what’s possible, this role is for you.
Responsibilities
Build and iterate on interactive AI-powered interfaces that stream LLM responses in real time via WebSockets or Server-Sent Events, display partial results, and handle context switching smoothly
Contribute to front-end architecture decisions for dynamic APIs that power agentic workflows, manage chunked RAG responses, and surface AI-driven suggestions in the UI
Implement streaming logic with low-latency rendering, loading states, progressive hints, abort/retry flows, and fallback UIs
Collaborate cross-functionally on AI features, partnering closely with backend engineers and AI team members to integrate streaming APIs, provide UX feedback on AI orchestration, and ensure seamless user experiences
Optimize front-end performance by profiling and minimizing bundle sizes, lazy-loading AI SDKs, and virtualizing long chat histories or suggestion lists
Support design consistency by translating interactive AI patterns into accessible, responsive components that meet design system standards
Must Have Requirements
Frontend Excellence
4+ years of production experience with React and TypeScript, shipping complex, interactive single-page applications
Hands-on experience with streaming data in the browser (WebSockets, Server-Sent Events, Fetch streams) to render incremental AI outputs
Strong UX sensibility and ability to anticipate user flows around AI, including when to show spinners, streaming indicators, abort controls, and contextual tips
AI Integration
- Practical knowledge of LLM APIs and RAG pipelines, integrating OpenAI or Anthropic APIs on the front end, managing prompt tokens, and handling API errors gracefully
Team Collaboration
Comfort working with backend systems - ability to read Python code, understand API contracts, and collaborate effectively with AI/backend engineers on feature integration
U.S.-based and authorized to work in the United States (no sponsorship available)
Nice to Have
Experience with edge-deployed functions (Vercel Edge, Cloudflare Workers) for inference or prompt preprocessing close to users
Familiarity with client-side caching of AI responses (IndexedDB, service workers) for offline-first AI interactions
Background in observable patterns (RxJS) to manage complex interactive streams
Prior work on AI-powered design systems or component libraries that adapt dynamically to model outputs
Experience collaborating with AI/ML teams or working in AI-focused product environments
Tools You Will Use and Learn
Expected Day One:
React, TypeScript, Tailwind CSS
WebSockets/SSE and React Query or SWR for data streaming
OpenAI and Anthropic APIs, LangChain JS
Modern bundling and performance optimization tools
You’ll Learn on the Job:
Vercel edge functions
Python and FastAPI microservices (for collaboration, not ownership)
PostgreSQL or Supabase functions
Pinecone, Weaviate, or ChromaDB for embeddings (understanding, not implementation)
What Great Looks Like
Day One:
Meet the team and understand our mission, architecture, and how we ship AI features to users
Set up your development environment and review our AI pipeline from data ingestion to UI
Identify a quick front-end improvement and propose or ship a mini-feature
Week One:
Ship an interactive AI component that streams model output in the app
Gain working knowledge of our RAG and vector database integrations
Establish relationships with design and backend partners to align on workflows
Month One:
Contribute significantly to frontend development of a full end-to-end AI feature, collaborating with backend team for API integration
Ship measurable improvements in loading performance, streaming reliability, or user engagement metrics
Become a reliable contributor for front-end AI patterns within the team
Month Three:
Contribute to the design and rollout of a major interactive AI feature that wows users
Help influence front-end architecture for scalable streaming and agentic workflows
Share knowledge with teammates on best practices for AI interactivity and performance
Compensation and Benefits
Salary: $150,000–$180,000 base
Incentive stock options proportionate to salary
Fully remote work with a remote office stipend
Career development stipend and flexible vacation (Holidays + 20 additional days suggested)
Up to 12 weeks paid parental leave and 80–100% health insurance coverage
401K matching up to 4%
Annual team offsite and guaranteed 1-month severance if things don’t work out
Hiring Process
Apply: share your GitHub, a side project, or a technical problem you’ve solved
Founder Chat: discuss mission, motivations, and technical interests with our CEO
Technical Deep Dive: pair program on a real front-end AI challenge
Values Alignment: meet the team for cultural fit and collaboration style
Paid Project Week: ship a small interactive AI feature to see our workflow firsthand
Ready to Build the Future of Careers?
This is a startup where requirements change, things break, and ownership is high.
If you want predictable 40-hour weeks and no surprises, this isn’t it. But if you want to push AI boundaries with brilliant people while building something that genuinely matters, let’s talk.
The work you do here will directly impact how millions of people navigate their professional lives—from their first job search to their biggest career pivot. We’re not just building software, we’re creating the intelligence that helps people find work they actually care about.
