Agentic AI Developer Intern at CoolBoots
Job Description
We are looking for a hands-on Agentic AI Developer Intern / Fresher who can help us build AI agents, browser automation agents, research agents, and workflow automation systems using Python.
This role is ideal for a recent AI/ML graduate who has already built practical projects involving AI agents, automation workflows, voice AI, browser automation, or LLM-based systems.
The candidate must be based in Delhi NCR and should be available for an in-office interview.
Experience Required
Internship / Fresher Level
Only recent college pass-outs can apply.
Final-semester students are not eligible for this role.
Location Requirement
Only candidates from Delhi NCR should apply.
The candidate must be available to attend an interview at our office.
Education Requirement
Only candidates with a Bachelor’s or Master’s degree in AI, ML, Computer Science, Data Science, or a closely related field should apply.
Preference will be given to candidates with graduation or post-graduation specialization in Artificial Intelligence / Machine Learning.
What We Are Looking For
We are looking for someone who has practical exposure to building AI-powered automation systems, not just theoretical knowledge.
The candidate should have hands-on experience with Python and should have built at least one working project in any of the following areas:
- AI Agents / Agentic AI
- Browser Automation Agents
- Research AI Agents
- AI Workflow Automation
- Voice AI / Speech-based AI systems
- LLM-based automation tools
- Python-based automation scripts
- AI agents that automate real-world business workflows
Key Responsibilities
- Build and experiment with agentic AI systems for automating business and communication workflows.
- Develop AI agents that can perform tasks such as research, browser automation, data extraction, content processing, and workflow execution.
- Work with Python-based AI frameworks and APIs to create practical automation solutions.
- Integrate AI agents with internal tools, APIs, communication platforms, and business workflows.
- Experiment with LLMs, prompt engineering, tool calling, function calling, RAG, and multi-step agent workflows.
- Build proof-of-concepts and MVPs for AI automation use cases.
- Test, debug, and improve AI agent performance for accuracy, reliability, and speed.
- Document code, workflows, configurations, and implementation steps clearly.
- Collaborate with product, technology, and operations teams to understand automation requirements and convert them into working AI solutions.
Required Skills
- Strong hands-on knowledge of Python.
- Basic understanding of Agentic AI, AI agents, and LLM-based workflows.
- Experience building projects using LLM APIs such as OpenAI, Gemini, Claude, Llama, or similar models.
- Familiarity with AI automation concepts such as:
- Tool calling
- Function calling
- Prompt engineering
- Workflow automation
- Browser automation
- Research agents
- API integrations
- Practical exposure to at least one of the following:
- LangChain
- CrewAI
- AutoGen
- LlamaIndex
- Playwright
- Selenium
- n8n
- Make
- FastAPI
- Flask
- OpenAI API
- Gemini API
- Basic understanding of NLP, machine learning, or speech recognition concepts.
- Ability to convert a business problem into a working technical prototype.
- Good debugging, problem-solving, and analytical skills.
- Ability to learn quickly and work in a fast-moving AI development environment.
Good to Have
- Any working GitHub project related to AI agents, voice AI, browser automation, research automation, or workflow automation.
- Experience with browser automation using Playwright or Selenium.
- Experience creating AI agents that can use tools, browse websites, extract data, or automate repetitive tasks.
- Experience with voice AI, transcription, text-to-speech, speech-to-text, or conversational AI.
- Understanding of vector databases, embeddings, RAG, or semantic search.
- Experience with FastAPI, REST APIs, MongoDB, MySQL, or basic backend development.
Mandatory Criteria
Candidates must meet the following criteria:
- Must be from Delhi NCR.
- Must be available for an in-office interview.
- Must be a college pass-out.
- Final-semester students are not eligible.
- Must have completed graduation or post-graduation in AI/ML, Computer Science, Data Science, or related technical field.
- Must have hands-on Python experience.
- Must have at least one working project in AI agents, AI workflows, voice AI, browser automation, or AI automation.
Who Should Apply
You should apply if:
- You have built real AI projects beyond tutorials.
- You are interested in AI agents, automation, and LLM-based systems.
- You can write Python code and debug your own work.
- You are excited about building practical AI tools for real business use cases.
- You are based in Delhi NCR and can attend an office interview.
Who Should Not Apply
Please do not apply if:
- You are currently in your final semester.
- You are not based in Delhi NCR.
- You cannot attend an in-office interview.
- You do not have hands-on Python experience.
- You have only theoretical AI/ML knowledge and no practical project work.
- You have not built any project related to AI agents, automation, voice AI, browser automation, or workflow automation.
