Salary
💰 $170,000 - $180,000 per year
About the role
- Develop and manage the process of chaining LLM agents for complex workflows, ensuring seamless orchestration and integration within our platform.
- Lead the creation of a Model Workbench designed for marketers, making it intuitive for non-technical users to leverage LLM capabilities in their workflows.
- Oversee the registration and maintenance of Model Context Protocol server, ensuring that all model capabilities are well-documented and easily accessible.
- Build robust evaluation suites for testing and iterating on agent performance, ensuring continuous improvement and reliability.
- Implement and manage context streaming services that allow for real-time data flow and contextual awareness in agent interactions.
- Actively participate in troubleshooting and debugging using tools like LangSmith, and lead by example in building proof-of-concepts (POCs).
- Promote a culture of rapid prototyping and iteration, demonstrating the value of "vibe coding" as a gateway to scalable product development.
Requirements
- Demonstrated experience managing complex technical products, particularly those involving LLMs or AI-driven tools.
- Strong technical background with hands-on experience in tools like LangSmith, and familiarity with workflow orchestration and LLM agent chaining.
- Proven ability to troubleshoot, innovate, and rapidly prototype solutions to demonstrate product feasibility.
- Excellent communication skills, with the ability to work closely with cross-functional teams and offshore developers to align on best practices and product goals.
- Preferred Qualifications: Experience with Agentic Infrastructure, integrating traditional ML with generative models to enhance model explainability and user interaction.
- Preferred Qualifications: Background in Workflow Orchestration and experience with existing workflow orchestration tools and methodologies.