Prometheus, Enterprise Search, Bash, Grafana, Javascript, Terraform, Python, Audit logging, Data connectors, Gemini Enterprise, Cloud Monitoring, Gemini models, Vertex AI, RAG pipelines, Responsible-AI guardrails

Machine Learning, Nodejs, Deep Learning, Docker, Microsoft Azure, Python, Azure DevOps, LLMs, REST API design, AKS, Vector Databases, Applied Agentic AI, RAG, MCP, Prompt Engineering

Gpu, Python, Cuda, Helm, Kubernetes, NIST AI RMF, agentic AI, LLM agents, modern interoperability, Nuclio, GAIA, multi-step control flow, EU AI Act, Verified WebArena, ISO 42001, data-intensive pipelines, Parquet, OSWorld, AI governance frameworks, SWE-bench, Iceberg, DuckDB, tool-calling, ?²-bench

Machine Learning, Git, Software Engineering, Rest Apis, Python, Generative AI, LLMs, Planning and reasoning, Long-term memory, Multi-agent collaboration, Agent orchestration, Ai, Tool and API ecosystems, Agentic architectures, Enterprise knowledge

Python, Testing, Code Review, embeddings, tracing, context and memory management, vector databases, retrieval systems, structured outputs, chunking, hybrid search, reranking, guardrails, versioning prompts, agent orchestration, LLM evaluation, observability, tool-calling, Typing, modular design, async code

Machine Learning, Artificial Intelligence, Api, Python, Artificial Intelligence Application, Direct experience, Managing Ambiguity, Stakeholder Engagement, Contingency Planning, Continuous Integration and Continuous Deployment, Liaising with cross functional teams, Fast-paced