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Tech Stack
Tools & technologiesAWSAzureCloudDistributed SystemsGoogle Cloud PlatformJavaScriptMicroservicesNode.jsReactTypeScript
About the role
Key responsibilities & impact- Own the evolution of our market research platform
- Architect sophisticated, privacy-first AI features for global clients
- Lead transformation of internal development lifecycle through AI-augmented engineering
- Design and implement multi-agent systems and LLM orchestration layers using frameworks
- Implement advanced RAG patterns, prompt caching, and model routing
- Ensure AI features adhere to market research privacy standards
- Lead implementation of AI-driven UI components in React and scalable back-end services in Node.js
- Guide selection of vector databases and monitoring tools
- Champion AI-assisted development and curate toolsets
- Upskill the broader engineering team on AI best practices
Requirements
What you’ll need- 8+ years of progressive software engineering experience
- 2+ years of hands-on experience with AI/LLM implementation
- Expert-level proficiency in Node.js/TypeScript and React
- Deep experience with OpenAI/Anthropic APIs, vector databases (Pinecone, Weaviate, or pgvector), and orchestration libraries
- Proven track record of designing distributed systems, microservices, and real-time data streaming
- Familiarity with data anonymization techniques and compliance frameworks within a cloud environment (AWS/Azure/GCP)
Benefits
Comp & perks- freedom to grow, lead, and innovate
- independence
- flexibility
- personal and professional development
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AI implementationLLM orchestrationNode.jsTypeScriptReactOpenAI APIAnthropic APIvector databasesmicroservicesreal-time data streaming
Soft Skills
leadershipteam upskillingcommunicationtransformation guidancechampioning best practices
