Staff AI Engineer

Overview

Get Well is seeking a Staff AI Engineer to drive the technical execution of AI projects, leveraging expertise in Large Language Models (LLMs), multimodal AI systems, and agentic systems to create innovative healthcare solutions. The role serves as a key technical liaison between AI engineering, product, and clinical teams.

What you'll do

• Design, develop, and implement AI solutions leveraging unimodal and multimodal Large Language Models (LLMs) and agentic systems.
• Develop and integrate agentic systems using frameworks like CrewAI, LangChain, and LangGraph to enable autonomous decision-making and workflow automation.
• Enhance product ecosystems by incorporating emerging AI technologies to improve functionality and user experience.
• Execute model training, fine-tuning, and optimization of inference engines for high-performance AI systems.
• Ensure technical excellence in AI solution design and implementation.
• Evaluate and integrate emerging AI technologies into existing systems.
• Serve as primary technical liaison between AI engineering teams and product teams.
• Translate technical capabilities into product requirements and user-centric solutions.
• Facilitate communication and alignment across engineering, product, and clinical teams.
• Drive collaborative innovation and knowledge sharing.
• Optimize cloud-based AI infrastructure for scalability, performance, and reliability.
• Implement best practices for efficient AI system deployment and maintenance, including agentic workflows.
• Establish and maintain rigorous testing and validation protocols for AI models.
• Drive continuous improvement in AI model accuracy, efficiency, and robustness.
• Implement and manage monitoring solutions for AI systems using tools such as Langfuse, Prometheus, Grafana, or equivalent platforms.
• Analyze observability data to identify and resolve issues in AI model behavior, agentic system performance, and system reliability.
• Develop proactive monitoring strategies to detect anomalies and ensure reliability of AI deployments.
• Ensure AI solutions adhere to healthcare regulatory standards and data privacy requirements (e.g., HIPAA, GDPR).
• Develop and enforce ethical AI guidelines to mitigate biases.
• Uphold high standards for secure handling of sensitive information, including ePHI and PHI, per federal, state, and local regulations.

What you'll need

• Master's degree or higher in Computer Science, Artificial Intelligence, Machine Learning, or a closely related technical field.
• 10+ years of experience with minimum 3+ years of technical experience in AI/ML technologies.
• Proven track record of delivering complex AI solutions in healthcare or technologically advanced domains.
• Deep technical proficiency in Large Language Model (LLM) architectures.
• Deep technical proficiency in multimodal AI system design.
• Deep technical proficiency in agentic system development using frameworks like CrewAI, LangChain, and LangGraph.
• Deep technical proficiency in machine learning model training and fine-tuning.
• Deep technical proficiency in cloud computing infrastructure (AWS preferred).
• Deep technical proficiency in AI/ML frameworks and development tools (e.g., TensorFlow, PyTorch, Hugging Face).
• Deep technical proficiency in AI monitoring and observability tools such as Langfuse, Prometheus, Grafana, or equivalent platforms.
• Strong programming skills in Python, C++, or other relevant languages.
• Experience in agile and adaptive project management methodologies.
• Exceptional problem-solving and analytical skills, with a focus on delivering scalable solutions.
• Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
• Collaborative mindset with experience working in cross-functional teams.
• Ability to mentor junior engineers and contribute to team development.
• Adaptability to work in fast-evolving technological environments.
• Commitment to adhering to organizational information security policies and protecting sensitive information, including ePHI and PHI, in accordance with Federal, State, and local regulations.

Nice to have

• Knowledge of healthcare technology landscapes and regulatory environments (e.g., HIPAA, GDPR).
• Awareness of emerging AI technologies, including agentic systems, MCP, A2A protocol and their potential applications.

Details

• Location: Bangalore, Karnataka.