Resource 1 is excited to announce an opportunity for a Senior AI Engineer to join our client in the Healthcare industry on a long-term contract. This position is fully remote, allowing you to work from anywhere in the US. Initially set for 6 months, there is strong potential for contract extensions.
Key Responsibilities:
• Develop and enhance large-scale multi-agent systems by utilizing cutting-edge LLMs and autonomous agent frameworks, employing tools such as Google ADK, Agentspace, MCP, RAG, and A2A orchestration.
• Contribute to the design and implementation of RAG pipelines with BigQuery and Vertex AI to ensure accuracy and knowledge grounding.
• Implement and optimize workflows for agent reasoning encompassing orchestration, grounding, decision-making, and multi-step reasoning.
• Build and maintain distributed training workflows, online inference systems, and low-latency serving architectures utilizing Google Cloud services.
• Develop secure and scalable AI components, including reusable orchestration layers, connectors, and observability hooks.
• Engage in the development of governance and compliance frameworks for agents that meet enterprise standards.
• Translate business requirements into actionable technical tasks and actively engage in solution design discussions.
• Support deployment pipelines and ensure operational monitoring, troubleshooting, and optimization of production AI systems.
Required Qualifications:
• Bachelor's degree in Computer Science, AI/ML, or a related technical field.
• Demonstrable experience in Generative AI and agentic AI development.
• A minimum of 4-5 years in AI/ML engineering or applied machine learning.
• Proven experience in building and deploying production AI/ML systems.
• Strong understanding of modern model architectures, such as transformers, embeddings, and prompt engineering.
• Hands-on expertise with Vertex AI (training, pipelines, deployment, orchestration, and monitoring) along with Google Cloud native AI services.
• Familiarity with one or more agent frameworks (e.g., Google ADK, Agentspace, LangChain, LlamaIndex, CrewAI, or AutoGen).
• Proficient in Python and LLM integration, including MCP and A2A orchestration.
• Experience working with Kubernetes, Cloud Run, Dataflow, or Pub/Sub.
Preferred Qualifications:
• Experience with AI observability, responsible AI frameworks, and model monitoring tools such as Vertex AI Monitoring and BigQuery logging.
• Knowledge of multi-modal models and advanced optimization strategies.
• Contributions to open-source AI projects or published applied research.
