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Accountabilities:
- Build modular, plug-and-play AI agents that integrate into a broader agentic architecture.
- Design and implement memory capabilities and develop tools, MCP servers, and reusable skills.
- Own quality through testing, evaluations, monitoring, and observability.
Requirements:
- 2-4 years professional experience developing production software with strong Python skills.
- Solid understanding of core agentic AI and LLM concepts including RAG and tool use.
- Hands-on experience with Langfuse, LangSmith, or equivalent LLM tracing platforms.
Benefits:
- Remote work opportunity based in India with cutting-edge AI projects.
- High level of ownership and trust from the beginning.
- Fast-moving environment focused on experimentation and continuous learning.
Not Disclosed
They build AI-powered applications to transform proposal workflows in the architecture, engineering, and construction industry. They operate in a fast-moving, remote environment with a focus on experimentation and continuous learning.