Senior AI/ML Engineer

Responsibilities:

• Build multi-agent systems capable of reasoning, tool use, and autonomous action
• Implement Model Context Protocol (MCP) strategies to manage complex, multi-source context
• Integrate third-party APIs (e.g., Crunchbase, PitchBook, CB Insights), scraping APIs, and data aggregators
• Develop browser-based agents enhanced with computer vision for dynamic research, scraping, and web interaction
• Optimize inference pipelines, task planning, and system performance
• Collaborate on architecture, prototyping, and iterative development
• Experiment with prompt chaining, tool calling, embeddings, and vector search

Requirements

• 5+ years of experience in software engineering or AI/ML development
• Strong Python skills and experience with LangChain, LlamaIndex, or agentic frameworks
• Proven experience with multi-agent systems, tool calling, or task planning agents
• Familiarity with Model Context Protocol (MCP), Retrieval-Augmented Generation (RAG), and multi-modal context handling
• Experience with browser automation frameworks (e.g., Playwright, Puppeteer, Selenium)
• Cloud deployment and systems engineering experience (GCP, AWS, etc.)
• Self-starter attitude with strong product sense and iteration speed

Bonus Points

• Experience with AutoGen, CrewAI, OpenAgents, or ReAct-style frameworks
• Background in building AI systems that blend structured and unstructured data
• Experience working in a fast-paced startup environment
• Previous startup or technical founding team experience