Opportunity Description
Core Skill Set:
Python (advanced, production-grade coding) Generative AI (LLMs, prompt engineering, fine-tuning, RAG) Agent development using frameworks such as ADK, LangGraph, LangChain Additional Relevant Skills:
Experience building end-to-end AI applications (design → deploy → scale) Retrieval-Augmented Generation (RAG) pipelines and vector databases (., Pinecone, FAISS) API development and integration (FastAPI, REST, microservices) Cloud platforms: AWS / Azure / GCP (especially AI/ML services) Model evaluation, guardrails, and Responsible AI practices Experimentation frameworks, prompt/version management, and observability Working knowledge of data pipelines and engineering (ETL, streaming) Familiarity with MLOps / LLMOps (CI/CD for models, monitoring, retraining) Strong problem-solving with ability to translate business use cases into AI solutions Compe...
Full-time
Mathematical Science Occupations