Alexandria, VA30+ days ago
Experience designing and implementing safety, guardrails, and bias-mitigation strategies for autonomous agents and multiagent systems Experience integrating agents with cloud-native workflows, streaming data pipelines, and real-time decision-making environments Familiarity with evaluation and observability tools for AI agents, such as LangSmith, OpenAI Evals, or custom telemetry systems Experience with AI service integration such as NIMS, Azure OpenAI, Bedrock, GCP Vertex AI Hands-on GPU programming experience for ML workloads using CUDA, PyTorch, or TensorFlow, including optimization for performance and efficiency. Experience developing Agentic AI solutions such as autonomous planning-execution-reflection loops, multi-agent collaboration and coordination, and tool usage patterns including API integration, retrieval-augmented generation (RAG), and memory/context management) Experience using vector databases (e.g., Pinecone, Weaviate, FAISS) Demonstrated experience leading and mentoring technical engineering teams.