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Job Description
Description
This is a strategic role with a niche fund representing a set of private investors. The role would be responsible for deploying, monitoring, and optimizing autonomous AI agents in seed-stage startups to deliver business value, performance metrics and disciplined execution.
The work would involve a few hours per week for nearly 2 months for each startup against mentorship equity in those startups. The advisor would be able to create a portfolio of equity in startups by putting a few hours every weekend. Depending on the quality of his work, some startups might be able to offer a full-time CTO role to the advisor.
Work to be done:
- To design, build, and deploy autonomous software systems that can perceive their environment, reason, plan, and take actions to achieve specific goals with minimal human intervention.
- To create simple AI agents using existing building blocks, uncomplicated prompt engineering and minimal customization to handle multi-step workflows, access external tools/APIs, and maintain memory across interactions.
- To use data scrapping tools like Apollo.io to populate the AI agents with easily available market data.
Skills needed:
- Must respect speed of execution and basic timelines.
- Mindset: A "builder" mentality, comfortable with ambiguity, and able to transition from "cool demo" to enterprise-grade reliability.
- Experience: 2 to 5+ years in software development, machine learning, or AI engineering.
- Technical Understanding: Proficiency in using AI agent platforms, API integrations, prompt engineering, and basic understanding of Python or data analysis tools.
- Strategic Thinking: Ability to map business problems to AI-driven solutions.
- Testing & Evaluation: Running simulations in sandboxes to validate agent performance, ensure safety, and minimize agent errors like hallucinations.
- Multi-Agent Coordination: Designing systems where multiple specialized agents collaborate to complete complex, long-running tasks.
- Tool Integration: Connecting AI agents to external systems (APIs, databases, data scrapping tools, CRM systems like Salesforce, Slack, Apollo.io) to retrieve data and execute tasks.
- Programming: Proficiency in Python (most common), JavaScript, or TypeScript.
- AI Frameworks: Experience with LangChain, LlamaIndex, AutoGen, CrewAI, or Microsoft Semantic Kernel.
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