Responsibilities

- Architecture, design, and development of Chatsee's core systems: high-volume ingestion pipelines, agent telemetry + observability engine, analytics and risk-classification platform, LLM reasoning, eval layers, and agent-behaviour models.
- End-to-end delivery: design, architecture, implementation, performance.
- Lead and mentor a high-calibre engineering team across Python, LLMs, front-end, and DevOps.
- Collaborate directly with executive leadership on roadmap, platform evolution, and scaling decisions.
- Institute world-class engineering standards (quality, security, reliability, testing).
- Guide UI development for complex agent-behaviour visualisations.
- Recruit, upskill, and shape the future India engineering team.

Company Summary

ChatSee is the intelligent observability layer that transforms raw conversation data into actionable insights, empowering organizations to monitor, audit, and refine AI agent performance with unprecedented precision.



ChatSee is building the industry's first unified AI agent observability + Trust platform used by CISOs, AI leaders, and Fortune 500 teams deploying copilots, chatbots, autonomous agents, and enterprise LLM applications.

Required Skills

['LLMs', 'Python']

Additional Information

Source recruiter: Vivek Goswami Source recruiter designation: Admin Company tagline: The AI gap is no longer about model quality Employee count: 10 Company founded: 2025 Company tech stack: Python, Machine Learning Website: https://www.chatsee.ai/ Instahyre score: NA Robust match: NA Accept outstation: true Company tagline: The AI gap is no longer about model quality Logo: https://media.instahyre.com/images/profile/base/employer/54282/cc00f2e28b/Screenshot_2026-04-09_182426.webp

📌 Lead Manager (Pune)
🏢 HuntingCube
📍 Pune