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Agentic AI Engineer

Nimblemind.ai

Nimblemind.ai

Software Engineering, Data Science
United States
Posted on Jun 11, 2025
About Us

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.