AI Agent Development Engineer-Nonpaid Internship

About the Role:

Key Responsibilities:

• Design, develop, and deploy

  autonomous AI agents

  for real-world task automation, decision-making, and orchestration.
• Integrate and fine-tune

  LLMs (Large Language Models)

  for goal-oriented, tool-using agents.
• Implement

  memory-augmented reasoning, Retrieval-Augmented Generation (RAG) pipelines, and multi-agent coordination

  .
• Apply

  Agentic AI approaches

  to enable adaptive decision-making, dynamic planning, and autonomous tool usage.
• Work with

  vector databases

  to store and retrieve contextual memory and knowledge.
• Optimize agent performance using

  Reinforcement Learning frameworks

  and human feedback.
• Collaborate with cross-functional teams to integrate AI agents into applications and services.
  
• Monitor, test, and maintain AI pipelines in production environments.
  

Required Skills & Experience:

• Strong programming skills in

  Python

  (C# or R is a plus).
• Proven experience in building and deploying

  AI agents or LLM-based applications

  .
• Hands-on expertise in:
  

• AI Agent Frameworks:

  LangChain, AutoGPT, BabyAGI, CrewAI, AgentGPT

• Agentic AI Concepts:

  reasoning loops, dynamic tool selection, adaptive workflows

• LLMs & Generative AI:

  OpenAI (GPT-3.5/4), Hugging Face Transformers, Anthropic Claude, Cohere

• RAG & Vector Search:

  Pinecone, FAISS, ChromaDB, Weaviate for context-aware generation

• Reinforcement Learning:

  OpenAI Gym, Stable-Baselines3, Ray RLlib

• NLP & Language Tools:

  spaCy, NLTK, TextBlob

• Modeling & Deployment:

  TensorFlow, PyTorch, Keras, Scikit-learn, MLflow

• APIs & UI Frameworks:

  Flask, FastAPI, Streamlit, Gradio

• DevOps:

  Docker, Git, CI/CD workflows, Kubernetes, Terraform