About Vidysea
Vidysea is an AI driven innovative platform designed to help students make smart further study choices. Founded by technologists, education enthusiasts and passionate leaders in education, Vidysea stands out for its clear, unbiased approach to career and further studies guidance, ensuring every student finds their unique path. We are committed to equipping students with the knowledge and resources essential for achieving their academic and career aspirations.
Job Summary
We are looking for an innovative Generative AI Engineer to design, build, and deploy LLM-based applications, chatbots, and AI-driven workflows. You will work on retrieval-augmented generation (RAG) systems, fine-tune AI models, and integrate vector databases to enhance chatbot capabilities. This role involves hands-on work with LangGraph, LlamaIndex, CrewAI, and cloud-based AI solutions.
Key Responsibilities
- Develop and fine-tune LLMs (GPT, Llama, Mistral, Falcon, Claude, etc.) for domain-specific applications.
- Implement RAG pipelines using LlamaIndex, LangGraph, and vector databases (FAISS, Pinecone, Weaviate, ChromaDB) to enhance response accuracy.
- Build AI-powered chatbots and autonomous agents using LangGraph, CrewAI, LlamaIndex, and OpenAI APIs.
- Optimize and deploy generative AI models for real-time inference using cloud platforms (AWS, GCP, Azure) and MLOps tools (Docker, Kubernetes, MLflow).
- Fine-tune models using LoRA, QLoRA, PEFT, and RLHF to improve efficiency and personalization.
- Develop AI-driven workflows for structured reasoning and decision-making using CrewAI and LangGraph.
- Integrate multi-modal AI models (text, image, speech) into enterprise solutions.
- Implement memory and retrieval strategies for LLM-based systems using vector search and caching techniques.
- Ensure AI models follow ethical AI guidelines, bias mitigation, and security best practices.
Required Skills
- Languages & Frameworks: Proficiency in Python, PyTorch, TensorFlow, JAX.
- RAG & Vector Databases: Experience with LlamaIndex, LangGraph, FAISS, Pinecone, ChromaDB, Weaviate.
- Chatbots & AI Agents: Hands-on experience with CrewAI, LangGraph, OpenAI, Hugging Face Transformers.
- Model Fine-Tuning & Optimization: Knowledge of LoRA, QLoRA, PEFT, RLHF, Prompt Engineering.
- MLOps & Deployment: Experience with Docker, Kubernetes, FastAPI, LangServe.
- Cloud Platforms: Experience deploying AI applications on AWS, GCP, or Azure.
Education & Experience
- Bachelor’s or Master’s in Computer Science, AI, Machine Learning, or related field.
- 6-8 years of experience in AI/ML & Gen AI.
Why Join Vidysea?
- Work on impactful projects in the EdTech domain.
- Collaborative and innovative work environment.
- Opportunities for skill development and career advancement.
- Competitive compensation and flexible work options.
- Start up level stock options
Benefits
- Opportunity to participate in ESOP plans in a high growth company.
- Opportunity to make a real impact on students' lives.
- Work in a dynamic and supportive environment.
- Professional development opportunities.
To Apply
Please send your resume and cover letter to shubhi@vidysea.com with the subject line “Applicant for Gen AI Engineer”