Senior Full-stack AI Engineer
Tasks
- Build agentic browser automation
- Build model context protocol based database connectivity
- Build real time voice pipelines
- Create MCP context protocol servers and clients
- Defend against prompt injection and PII
- Design single and multi agent systems
- Develop end to end features with Node.js and React
- Implement WebRTC real time transport
- Implement tracing with Langfuse and OpenTelemetry
- Run online A/B tests
- Ship embeddable widgets
- Stream agent states using AG UI
- Tune latency cost and reliability
Perks/Benefits
- Annual leave
- Career growth opportunities
- Company-provided laptop
- Public holidays
- Remote work
- Social insurance coverage
- Sponsored training
- Workshops and conferences
Skills/Tech-stack
A/B Testing | AI SDK | AWS | Agent Orchestration | B testing | Context Management | Edge Runtime | Injection Defense | Input validation | JavaScript | LLM | Langfuse | Language Models | Large Language Models | Latency Tuning | Least Privilege | Node.js | Online A/B Testing | OpenTelemetry | PII protection | Prompt engineering | Prompt injection | Prompt injection defense | RAG | React | Retrieval Pipelines | STT | Secrets management | Serverless | Speech-to-Text | Streaming Speech to Text | Structured outputs | Svelte | TTS | Text to Speech | Tool-Calling | Turn Detection | TypeScript | Vector Databases | Vercel | Vercel AI SDK | Vercel AI) | Voice pipeline | WCAG | WebRTC | WebRTC Data Channels
Education
Roles
AI Engineer | Engineer | Full Stack | Full Stack AI Engineer | Full Stack Engineer | Stack Engineer
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