Our client is building an advanced Agent-based Orchestration Platform for a Sales Engineering organization, and we're seeking a Machine Learning Engineer to drive the development of complex, applied AI workflows. This role will focus on prompt orchestration and backend data infrastructure, working with cutting-edge tools like Databricks and LangChain. If you're an applied AI expert with experience in agent-based workflows, we'd love to talk to you.

Key Responsibilities:

• Build an umbrella orchestration layer to determine which AI agent to deploy based on specific tasks, integrating complex workflows through natural language commands.
• Lead the development of agent orchestration, ensuring seamless integration of multiple AI agents for different orchestration processes.
• Collaborate with cross-functional teams to tie backend data to the AI models, improving the effectiveness of prompt orchestration.
• Develop modules for competitive playbooks, allowing customization and dynamic adjustments for various sales strategies.
• Elevate the team's expertise by owning and leading applied AI initiatives, specifically around Large Language Models (LLMs) and agent orchestration.

Tech Stack:

• Databricks
• AWS infrastructure
• Tailwind
• Python
• LangChain & LangSmith

Ideal Candidate:

• Extensive experience in applied AI applications, particularly LLMs and agent-based workflows.
• Hands-on experience with prompt orchestration and agent orchestration.
• Proven track record of leading technical efforts, especially in AI/ML environments.
• Contributions to open-source projects or public code repositories (e.g., GitHub) are a strong plus.

Click Apply below and reach out to careers@foundrr.xyz and they will be more than happy to share more details.

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