AI/ML Intern - Building & Scaling AI AgentsAbout the Role
We are looking for final-year undergraduate students passionate about Artificial Intelligence to join as AI/ML Interns. You will work on designing, developing, fine-tuning, and scaling AI agents capable of solving real-world tasks across automation, data intelligence, customer interaction, and productivity domains. In addition, you will contribute to Natural Language Processing and Computer Vision initiatives to enhance the intelligence and capability of our AI systems.
Key ResponsibilitiesAI Agents
Build AI agents using LLM frameworks and APIs (e.g., OpenAI, LangChain, RAG pipelines, agent frameworks)
Develop capabilities such as reasoning, tool usage, decision-making, and multi-step task automation
Train, fine-tune, or optimize models for performance, accuracy, latency, and cost
Work with vector databases, embeddings, and knowledge bases
Integrate agents into applications via APIs, microservices, or front-end interfaces
Collaborate with product & engineering teams to translate requirements into deliverables
Document systems, experiments, results, and best practices
Natural Language Processing (NLP)
Work on text-based AI capabilities such as:
chatbots, Q&A systems, summarization, document intelligence, and text insights
Handle preprocessing, tokenization, dataset preparation, and experimentation
Build or fine-tune lightweight NLP / LLM models where required
Support building RAG, knowledge assistants, and domain-specific language applications
Computer Vision / Image AI
Work on vision-based features such as:
image classification, detection, OCR, document/image understanding, or multimodal systems
Use frameworks such as OpenCV, PyTorch/TensorFlow Vision APIs, or pre-trained models
Assist with dataset creation, labeling, augmentation, and evaluation
Contribute to integrating vision models into real-world applications
Required Qualifications
Final-year undergraduate student in Computer Science / AI / Data Science / Electronics / or related field
Strong understanding of Machine Learning or Deep Learning fundamentals
Proficiency in Python
Experience with at least one of the following:
LLMs (OpenAI, Llama, Claude, etc.)
ML frameworks (PyTorch / TensorFlow / Scikit-learn)
Agent frameworks (LangChain / LlamaIndex / AutoGen etc.)
Experience with Retrieval Augmented Generation (RAG)
Familiarity with REST APIs and basic backend integration
Problem-solving mindset with ability to learn fast
Good to Have (Bonus)
Knowledge of prompt engineering
Experience with cloud deployment (Docker, Kubernetes, serverless)
Deploy and scale AI systems on cloud platforms (AWS / GCP / Azure / others)
Experience working with datasets, data cleaning, and pipelines
Basic understanding of software engineering best practices (Git, GitHub)
Exposure to HuggingFace, OpenCV, YOLO, or Vision Transformers
Prior research projects / hackathons / publications / GitHub portfolio
What You'll Gain
Hands-on experience building production-grade AI agents
Exposure to cutting-edge LLM, NLP & Computer Vision technologies
Mentorship from AI engineers and product leaders
Opportunity to convert to a full-time role (performance-based)