Discover Dollar helps Fortune 500 finance teams find hidden revenue leaks, overpayments, duplicate invoices and missed savings using AI-driven audits. Backed by Techstars.
About the role
We are looking for a technically strong and passionate AI Engineer Intern with hands-on experience building Agentic AI applications using Large Language Models (LLMs). The ideal candidate should have practical exposure to DeepAgents, LangGraph, Agent Harness development, Model Context Protocol (MCP), AI Observability, and LLM Evaluations (Evals) through academic projects, personal projects, internships, or open-source contributions. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Programming: Strong Python fundamentals, OOP, asynchronous programming, REST APIs, and JSON
- Agentic AI: Hands-on exposure to LangGraph, DeepAgents, or comparable agent frameworks, including agent orchestration and tool calling
- Agent Harness: Understanding of agent execution loops, middleware, tool integration, state management, and error handling
- MCP: Understanding of MCP architecture and experience building or integrating MCP servers and tools
- Observability: Familiarity with instrumenting and debugging LLM or agent workflows using tracing and monitoring tools
- Evals: Understanding of evaluation datasets, correctness metrics, and methods for evaluating LLM and agent outputs
More about this role
Role: AI Engineer Intern – Agentic AI & LLM Engineering
We are looking for a technically strong and passionate AI Engineer Intern with hands-on experience building Agentic AI applications using Large Language Models (LLMs).
The ideal candidate should have practical exposure to DeepAgents, LangGraph, Agent Harness development, Model Context Protocol (MCP), AI Observability, and LLM Evaluations (Evals) through academic projects, personal projects, internships, or open-source contributions.
You will work on designing, developing, evaluating, and deploying AI agents capable of performing complex, multi-step business workflows by interacting with tools, APIs, databases, and enterprise systems.
We are looking for candidates who go beyond basic chatbot development and are interested in building reliable, tool-enabled, and measurable AI applications.
- Design and develop AI agents using LangGraph, LangChain, and DeepAgents.
- Build and customize agent harnesses to support planning, tool execution, context management, and multi-step workflows.
- Implement agent middleware for tool retries, error handling, human-in-the-loop approvals, and context management.
- Work with agent memory, state...
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