Brillio - Lead AI Engineer I

• Full-stack development with React, Angular, or Vue for frontend • Backend development using Node.js, Java Spring Boot, or Python frameworks (FastAPI, Django) • RESTful API design and microservices architecture • Experience with Azure, AWS, and GCP cloud platforms • Hands-on experience with Docker containers and Kubernetes • CI/CD pipeline implementation • Agentic AI frameworks such as LangChain, LlamaIndex, Semantic Kernel, AutoGen, or CrewAI • Prompt engineering and Retrieval-Augmented Generation (RAG) techniques • Familiarity with vector databases such as FAISS or Pinecone • Knowledge of event streaming systems like Kafka or Pub/Sub • Experience with federated learning or privacy-preserving algorithms • Contributions to open-source projects or hackathons in AI/ML or full-stack domains • Experience with model experimentation platforms such as Domino Datalabs or Databricks ML • Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a closely related discipline • Certification in cloud platforms (e.g., AWS Certified Machine Learning Specialty, Azure AI Engineer Associate, Google Cloud Professional Machine Learning Engineer) • Certification in full-stack development or AI frameworks (e.g., Full Stack Web Development, TensorFlow Developer Certificate) • Additional Information: Location: Bangalore (Hybrid work arrangement) • We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.