Opportunity brief
About the role:
- We are looking for a GenAI Developer Intern who is passionate about Artificial Intelligence and wants to gain hands-on experience building real-world AI applications. You will work closely with our engineering and product teams and get exposure to different areas of modern AI, including LLMs, AI Agents, Voice AI, Computer Vision, Prompt Engineering, NLP, Multimodal AI, and AI automation. This is a hands-on opportunity to experiment with AI technologies, build prototypes, integrate AI models into applications, and learn how AI systems are developed for realworld use cases.
Responsibilities:
- Assist in building and integrating AI-powered applications.
- Experiment with different LLMs, AI models, APIs, and GenAI tools.
- Work on prompt engineering and improving AI model responses.
- Assist in building and testing AI agents and conversational AI systems.
- Explore Voice AI, including speech recognition, text-to-speech, and voice agents.
- Work on Computer Vision and image/video-based AI use cases where required.
- Assist with NLP and multimodal AI applications.
- Integrate AI models with APIs and backend services.
- Test AI features and evaluate their accuracy, quality, latency, and reliability.
- Debug AI-related issues and analyze model outputs.
- Build prototypes and proof-of-concepts for new AI capabilities.
- Research new AI models, frameworks, and technologies.
- Document experiments, implementations, and learnings.
- Collaborate with engineers and product teams to turn AI ideas into working features.
Required Skills:
- Basic programming knowledge in Python or JavaScript/TypeScript.
- Basic understanding of Artificial Intelligence and Generative AI.
- Familiarity with APIs and basic software development concepts.
- Basic understanding of LLMs and prompt engineering.
- Familiarity with Git/GitHub.
- Good problem-solving and analytical skills.
- Strong curiosity and willingness to learn new AI technologies.
Good to Have:
- Hands-on experience with OpenAI, Gemini, Claude, or other AI APIs.
- Exposure to AI Agents, Voice AI, Conversational AI, or AI automation.
- Basic knowledge of Computer Vision, NLP, Speech AI, or Multimodal AI.
- Experience with frameworks such as LangChain, LangGraph, LlamaIndex, or similar tools.
- Familiarity with embeddings, vector databases, semantic search, or RAG.
- Knowledge of FastAPI, Node.js, React, or similar technologies.
- Basic understanding of Docker or AWS.
- Personal, college, academic, or open-source AI/GenAI projects.
What We're Looking For:
- Strong programming fundamentals and a genuine interest in AI.
- Curiosity to explore different AI domains and technologies.
- Willingness to learn, experiment, and iterate quickly.
- Ability to solve problems and learn independently.
- Good communication and collaboration skills.
- A builder mindset — you enjoy creating and experimenting with AI applications.
- Projects and practical experience are valued more than certifications.