About Nimblemind.ai
Nimblemind.ai is revolutionizing healthcare by empowering providers to harness the full potential of clinical data. Our cloud-based SaaS platform simplifies data integration, structuring, and labeling, allowing healthcare providers to maintain security and privacy while unlocking AI-driven insights. Our mission is to enable smarter and more personalized patient care through robust Healthcare AI.
Role Overview
We’re hiring a Agentic AI Engineer to support the development of intelligent agents that power our AI pipeline. You’ll work alongside experienced AI engineers and platform developers to design, implement, and evaluate task-specific agents that automate complex ML operations. You’ll build tools that help agents reason across clinical data modalities, interact with modeling services, and support human-in-the-loop decision making. This role is perfect for someone with a deep interest in AI systems, orchestration, and healthcare impact.
Key Responsibilities
Agent Development & Workflow Integration
- Help design and implement autonomous agents that support tasks such as feature curation, pipeline orchestration, and model validation
- Develop modular prompts, reasoning chains, and decision graphs tailored to healthcare use cases
- Work with APIs like Google’s Agent Builder to implement goal-driven logic
Agent-Model Interaction
- Enable agents to interface with model development tools (e.g., trigger Vertex AI pipelines, monitor training jobs, run evaluation scripts)
- Assist in integrating LLM-based agents with retrieval tools, structured inputs, and downstream ML systems
- Create lightweight interfaces for agents to generate and revise structured outputs (e.g., model cards, ICD mappings, report summaries)
Tooling & Monitoring
- Develop tools that track agent behavior, log reasoning traces, and ensure output safety and interpretability
- Set up agent testing harnesses and benchmarks across synthetic and real clinical scenarios
- Support workflows where agents collaborate with humans (e.g., clinicians validating model predictions)
Collaboration & Learning
- Partner with AI/ML, MLOps, and platform teams to co-develop agent workflows
- Contribute to the refinement of Nimblemind’s agent framework, prompt libraries, and routing logic
- Participate in stand-ups, reviews, and design discussions focused on scalable, secure, and explainable agent design
Preferred Qualifications
- B.S. or M.S. in Computer Science, Artificial Intelligence, Human-Computer Interaction, or related field
- Interest in intelligent agents, orchestration frameworks, or multi-step reasoning workflows
- Familiarity with cloud-based AI/ML platforms (e.g., GCP, Vertex AI, LangChain)
- Curiosity about healthcare data, clinical workflows, or multimodal reasoning
- Experience with LLM APIs (OpenAI, Claude, Gemini, or MedLM) and agent toolkits (AgentBuilder, AutoGen, LangGraph, CrewAI)
- Understanding of chain-of-thought reasoning, prompt tuning, or context window management
- Exposure to structured healthcare data (e.g., EMR, labs, diagnoses) or unstructured inputs (e.g., clinical notes, wearable summaries)
- Familiarity with evaluation metrics for agent correctness, latency, or failure modes
Why Join Nimblemind.ai?
- Be part of a mission-driven company shaping the future of healthcare.
- Lead the development of groundbreaking products while contributing directly to their design & creation.
- Collaborate with a world-class team of healthcare and technology innovators.
- Competitive compensation package, including equity in a fast-growing startup.