Artificial Intelligence Intern

Job Title -: AI/ML Developer 

Location: Gurgaon
Work Mode: WFO (5 Days)
Experience: 0-1 Years | Internship / Full-Time
Education: B.Tech / B.E. Computer Science Engineering (CSE)

About the Role

We are looking for a passionate and curious AI/ML Developer to join our team and work on next-generation Generative AI, Agentic AI, and LLM-based applications. This role is ideal for freshers or candidates with internship experience who have hands-on exposure to Python, LLMs, RAG, LangChain, and LangGraph and are eager to build real-world AI solutions.

Key Responsibilities

• Develop and integrate LLM-powered applications and AI solutions using Python.
• Build Agentic AI workflows and AI agents using frameworks such as LangGraph and LangChain.
• Develop RAG (Retrieval-Augmented Generation) pipelines for knowledge-based applications.
• Work with LLMs, prompt engineering, embeddings, vector databases, and AI APIs.
• Design and develop AI/ML prototypes and convert them into scalable applications.
• Experiment with different LLM models, tools, agents, and orchestration techniques.
• Integrate AI capabilities with existing applications and APIs.
• Perform testing, debugging, optimization, and continuous improvement of AI solutions.
• Stay updated with emerging trends in Generative AI, Agentic AI, LLMs, and AI development frameworks.
• Collaborate with engineering and product teams to understand requirements and deliver AI-driven solutions.

Required Skills

• Strong programming skills in Python.
• Understanding of Generative AI and Large Language Models (LLMs).
• Hands-on knowledge of RAG (Retrieval-Augmented Generation).
• Exposure to LangChain and LangGraph.
• Understanding of Agentic AI / AI Agents and agent workflows.
• Knowledge of APIs, REST APIs, JSON, and basic software development concepts.
• Familiarity with embeddings, vector databases, prompt engineering, and LLM APIs is preferred.
• Strong problem-solving and analytical skills.
• Good understanding of software development fundamentals.

Good to Have

• Internship or academic project experience in GenAI / LLM / Agentic AI.
• Exposure to vector databases such as FAISS, Chroma, Pinecone, or similar.
• Familiarity with Git/GitHub and basic cloud platforms.
• Knowledge of ML/NLP fundamentals.
• Experience building and deploying AI/LLM-based projects.

Eligibility

• B.Tech / B.E. in Computer Science Engineering (CSE) or a related discipline.
• 0-1 years of experience, including relevant internship experience.
• Candidates with strong academic or personal projects in GenAI, LLM, RAG, or Agentic AI are encouraged to apply.
• Candidates must be comfortable working 5 days a week from our Gurgaon office.