Generative AI Engineering Intern — Venxr

What We're Looking For

0–1 year of experience in AI engineering, product development internship, or related projects.

B.Tech in AI/ML or CSE.

Good foundational knowledge of Python.

Hands-on experience building at least one GenAI application, AI agent, chatbot, or LLM-powered workflow.

Hands-on experience with LangChain, LangGraph, MCP, or equivalent AI frameworks, with an understanding of LLM orchestration, context engineering, memory management, and tool calling.

Basic knowledge of REST APIs and databases.

Strong problem-solving and debugging skills.

Willingness to experiment, learn quickly, and explain your technical decisions.

We value practical implementation over certificates. Personal projects, hackathons, academic projects, and open-source contributions count. You should be able to explain what you built, how it works, and what you would improve.

Good to Have

Experience with RAG, embeddings, vector databases, or semantic search.

Exposure to multi-agent systems and workflow orchestration.

Familiarity with LLM evaluation tools such as LangSmith, Langfuse, or Ragas.

Basic React.js or frontend development experience.

Familiarity with Git, Docker, cloud deployment, or CI/CD.

Interest in Generative UI, AdTech, or MarTech.

How We Work

At Venxr, you'll work on real product challenges alongside the engineering and product teams. You'll have opportunities to experiment with new AI approaches, build prototypes, debug complex workflows, and contribute to features that can make their way into a live product.

We value curiosity, ownership, thoughtful problem-solving, collaboration, and a willingness to learn from failures.

We're looking for people who ask questions, take initiative, and enjoy turning ideas into working solutions.

Selection Process

Technical screening: A 30-minute discussion about your projects, Python fundamentals, and GenAI concepts.

Take-home assignment: Build a small LLM-powered workflow or agent. AI coding tools are welcome, but you must understand and explain your implementation.

Technical interview: Walk us through your solution, design decisions, debugging approach, and potential improvements.

Final round: Technical and managerial discussion.

How To Apply

Share your resume along with links to your GitHub, portfolio, or GenAI projects.

Note:

This is a paid internship.Skills: django,ci/cd,langgraph,langchain,cloud infra,nosql,docker,context engineering,system design,rest apis,sql,adtech,mcp,python,memory management,react.js,llm orchestration,tool calling,debugging,generative ui