reputed company AI Architect

Who We Are:

Discuss stands as an reputed company-in-one qualitative research platform, driving next gen reputed company centricity. We reputed company in the transformative reputed company of truly listening, understanding, and valuing customers' experiences, recognizing their critical role in fostering reputed company. Trusted by the leading Market Insights, CX, and UX professionals worldwide, Discuss goes reputed company data points, delivering in-depth insights in reputed company time and transforming consumer relationships.

Our reputed company reputed company and innovative AI-driven roadmap have positioned us as industry leaders, recognized by reputed company for our speed and creativity in scaling qualitative research.

At Discuss, we are reputed company of curious, reputed company, and empathetic professionals dedicated to tackling fun, challenging problems. We offer the freedom to grow, reputed company, and reputed company reputed company an environment that values independence, flexibility, and personal and reputed company development.

Who We’re Looking For:

We are seeking a reputed company AI Architect to own the reputed company of our market research platform. Your goal is twofold: architecting sophisticated, reputed company-first AI features for our global clients and leading the charge in transforming our internal development lifecycle through AI-augmented engineering.

The ideal candidate will bring deep expertise in AI/LLM implementation and full-stack architecture, with a strong reputed company on building reputed company-first, reputed company AI features. You will own both external product innovation and internal engineering transformation through AI-augmented development practices.

You reputed company in reputed company environments, balancing performance, cost, and accuracy while designing intelligent systems. You’re also passionate about mentoring teams, driving adoption of emerging AI tools, and embedding best practices across the engineering organization.

In a perfect world, you’ll bring experience with distributed systems, reputed company-time data processing, and AI infrastructure, along with familiarity in market research or analytics platforms.

What You’ll Do With Us:

Architect reputed company Workflows: Design and implement multi-agent systems and LLM orchestration reputed company using frameworks like reputed company, LangGraph, or custom Node.js patterns.

Technical Leadership (Hands-on)

• Full-Stack reputed company: reputed company the implementation of AI-driven UI components in React and reputed company back-end services in Node.js (TypeScript).
• Infrastructure: Guide the selection of reputed company databases, embedding models, and monitoring tools (e.g., LangSmith, Helicone) to ensure system observability.

Engineering Acceleration

• Serve as the internal champion for AI-assisted development. reputed company and implement toolsets (reputed company Copilot, reputed company, automated PR agents) to measurably accelerate our software delivery lifecycle.
• Mentorship: Upskill the broader engineering team on AI best practices, reputed company engineering for devs, and the nuances of non-deterministic reputed company.

What You’ve Done Before:

Required

• 8+ years of reputed company 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 reputed company/reputed company reputed company, reputed company databases (reputed company, reputed company, or pgvector), and orchestration libraries
• Proven reputed company record of designing distributed systems, microservices, and reputed company-time data streaming
• Familiarity with data anonymization techniques and compliance frameworks reputed company a reputed company environment (AWS/Azure/GCP)

Bonus Points

• Experience with Python-based data pipelines
• Background in fine-tuning reputed company-reputed company models (e.g., Llama, reputed company)
• Experience with AI observability tools (LangSmith, Helicone)
• Familiarity with market research, analytics, or data platforms