Artificial Intelligence Intern

Role Overview

At UnleashX, we are building an AI workforce for the modern enterprise — AI employees designed for specific job functions such as Marketing AI, HR AI, Sales SDR AI, and other specialized roles. We’re looking for an AI & ML Engineer with strong hands-on experience building LLM-powered applications and AI agents to design, build, test, and deploy production-ready AI employees.

Responsibilities

• Build and deploy AI agents and LLM-powered applications using Python.
• Work extensively with LangChain, LangGraph, and agentic AI frameworks.
• Integrate and work with leading models including OpenAI, Claude, and other LLMs.
• Design agent workflows involving tool calling, memory, reasoning, orchestration, and multi-step execution.
• Build AI employees for specific business functions such as Marketing, HR, Sales/SDR, Customer Success, and more.
• Develop integrations with APIs, databases, business tools, and third-party services.
• Evaluate model performance, improve prompts, workflows, reliability, and response quality.
• Take ownership of an AI workforce category from initial development through deployment and iteration.
• Debug, optimize, and continuously improve AI systems in production.
• Work with product and engineering teams to convert real business workflows into reliable AI agents.

Requirements

• 2+ years of hands-on experience in AI/ML, Generative AI, or software engineering with a strong focus on AI.
• Strong proficiency in Python.
• Practical experience with LangChain and LangGraph.
• Hands-on experience with OpenAI, Claude, or similar foundation models.
• Strong understanding of LLMs, prompt engineering, RAG, embeddings, vector databases, tool calling, and AI agents.
• Experience building and deploying AI applications — not just experimenting with models.
• Good understanding of APIs, backend systems, databases, and software development practices.
• Ability to independently take an AI product/workflow from idea to deployment.
• Strong problem-solving skills and the ability to work in a fast-moving startup environment.

Skills

• Python
• LangChain
• LangGraph
• OpenAI
• Generative AI

Nice to Have

• Experience with FastAPI, Docker, AWS, GCP, or Azure.
• Experience with vector databases such as Pinecone, Weaviate, Qdrant, or pgvector.
• Experience with agent evaluation, observability, and LLM monitoring.
• Experience with function/tool calling and MCP.
• Familiarity with AI voice agents or conversational AI.