Key Responsibilities
- Design, develop, and deploy Gen AI solutions using LLMs, RAG architectures, and Agentic AI frameworks.
- Build APIs using FastAPI to serve AI/ML models in scalable environments.
- Collaborate on building secure and robust MLOps pipelines using Azure DevOps and other cloud-native tools.
- Fine-tune and optimize LLMs for domain-specific tasks and applications.
- Integrate AI models into enterprise-grade applications and platforms.
- Engage in rapid prototyping and proof-of-concept development with cutting-edge Gen AI tools.
- Contribute to model evaluation, performance monitoring, and continuous improvement.
- Document technical decisions, architectures, and workflows for knowledge sharing.
- Possess 5+ years of experience in AI/ML, with hands-on exposure to LLMs, RAG, and Agentic AI.
- Demonstrate strong programming skills in Python and experience building APIs with FastAPI.
- Have experience with Azure DevOps, MLOps, and cloud-based model deployment.
- Be familiar with transformer architecture, prompt engineering, and fine-tuning techniques.
- Ability to design scalable and maintainable AI pipelines.
- Possess a solid understanding of software engineering practices including version control, testing, and CI/CD.
Why Join VDart Digital?
- Be a pioneer in shaping our Gen AI practice from the ground up.
- Work with cutting-edge technologies and world-class mentors.
- Access to continuous learning, certifications, and R&D initiatives.
- A culture that encourages experimentation, innovation, and collaboration.
Nice to Have (Optional):
- Experience with tools like LangChain, Llama Index, or vector databases (e.g., FAISS, Pinecone).
- Exposure to containerization (Docker, Kubernetes).
- Knowledge of ethical AI practices, privacy, and security in AI applications.
