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Senior Agentic AI Engineer

SeniorOn-Site

Lead the design and development of advanced AI agent systems, focusing on real-world automation, multi-agent orchestration, and scalable LLM-powered solutions for enterprise use cases.

SDE-III (Full-Stack / Real-Time Engineer)

SeniorOn-Site

Drive the architecture and development of a high-performance real-time communication platform, building scalable full-stack systems with messaging, voice/video, and offline-first capabilities.

Backend Developer (Node.js)

Mid-LevelOn-Site

Develop and optimize backend systems for real-time applications, focusing on low-latency APIs, WebSocket communication, and scalable distributed architectures.

Senior Agentic AI Engineer

SeniorOn-Site

Preferred / Strong Plus

  • Experience in B2B/MSME product environments, understanding operational constraints such as cost sensitivity, connectivity limitations, and workflow automation needs.
  • Familiarity with open-source conversational frameworks such as Rasa, Botpress, or Microsoft Bot Framework.
  • Experience optimizing LLM inference for latency and cost (quantization, batching, dynamic model routing, caching).
  • Strong understanding of conversational product metrics (resolution rate, deflection rate, handle time, CSAT) and how to optimize models and pipelines for them.

Additional Bonus Qualifications

  • Familiarity with Model Context Protocol (MCP) and designing systems where agents interact with external tools and structured knowledge through MCP-style interfaces.
  • Experience building agent-to-agent (A2A) systems, multi-agent orchestration, or agent collaboration frameworks for task delegation and workflow automation.
  • Experience integrating LLM agents with enterprise tools via MCP-compatible tool servers, structured APIs, or workflow orchestration systems.
  • Knowledge of emerging agent infrastructure ecosystems (tool registries, agent communication protocols, tool-use policies, guardrails).

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