Principal Engineer - AI Engineering

Docent (now Get Well); Bengaluru; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

Docent (now Get Well) in Bengaluru is looking for a Principal Engineer - AI Engineering to lead the development of groundbreaking AI solutions for healthcare. This role requires a Master's degree in Computer Science or a related field and over 5 years of experience in AI/ML technologies. The Principal Engineer will work closely with product teams and cross-functional stakeholders to ensure robust AI systems that are compliant with healthcare regulations. The position offers a dynamic work environment focused on innovation and impact.

Qualifications

• 5+ years of technical leadership experience in AI/ML technologies.
• Experience with delivering complex AI solutions in healthcare.
• Ability to mentor junior engineers and contribute to team development.

Responsibilities

• Drive the development and implementation of AI solutions.
• Translate technical capabilities into product requirements.
• Optimize cloud-based AI infrastructure for performance.
• Ensure adherence to healthcare regulatory standards.

Skills

Large Language Model (LLM) architectures

Multimodal AI system design

Agentic system development

Machine learning model training and fine‑tuning

Cloud computing infrastructure

Programming skills in Python

Strong analytical skills

Agile project management

AI monitoring and observability tools

Education

Master’s degree in Computer Science or related field

Tools

AWS

TensorFlow

PyTorch

Hugging Face

LangChain

Grafana

Prometheus

Langfuse

Job description

Opportunity

Get Well is seeking a highly skilled and visionary Principal Engineer - AI Engineering to drive the development and implementation of advanced AI solutions focusing on the technical execution of AI projects, leveraging expertise in large language models (LLMs), multimodal AI systems, and agentic systems to create innovative healthcare solutions. This role serves as a key interface between AI engineering teams and product teams, translating technological capabilities into tangible healthcare solutions. The Principal/Staff Engineer will work closely with AI engineering teams, product teams, and cross‑functional stakeholders to deliver scalable, reliable, and impactful AI technologies. The position reports directly to the VP of Product Development, working collaboratively across multiple teams to advance the organization’s AI capabilities and strategic objectives.

AI Solution Development

• Design, develop, and implement AI solutions leveraging unimodal and multimodal large language models (LLMs) and agentic systems.
• Build and integrate agentic systems using frameworks like CrewAI, LangChain, and LangGraph to enable autonomous decision‑making and workflow automation.
• Incorporate emerging AI technologies into existing product ecosystems to enhance 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 product ecosystems.

Cross‑Functional Collaboration

• Serve as primary liaison between AI engineering teams and product teams.
• Translate technical capabilities into product requirements and user‑centric solutions.
• Help facilitate communication and alignment across engineering, product, and clinical teams.
• Drive collaborative innovation processes and knowledge sharing.

Infrastructure and Optimization

• Optimize cloud‑based AI infrastructure for scalability, performance, and reliability.
• Create metrics and frameworks to evaluate the effectiveness and performance of AI solutions, including autonomous agent interactions.
• Implement best practices for efficient AI system deployment and maintenance, including agentic workflows.

Performance and Quality Assurance

• Establish and maintain rigorous testing and validation protocols for AI models.
• Create metrics and frameworks to evaluate the effectiveness and performance of AI solutions, including autonomous agent interactions.
• Drive continuous improvement in AI model accuracy, efficiency, and robustness.

Monitoring and Observability

• Implement and manage monitoring solutions for AI systems to ensure operational health and performance.
• Utilize tools such as Langfuse, Prometheus, Grafana, or similar platforms to track model performance, latency, and resource utilization.
• Analyze observability data to identify and resolve issues in AI model behavior, agentic system performance, and system reliability.
• Establish proactive monitoring strategies to detect anomalies and ensure reliability of AI deployments.
• Create metrics and frameworks to evaluate the effectiveness and performance of AI solutions, including autonomous agent interactions.

Compliance and Ethical AI

• Ensure AI solutions adhere to healthcare regulatory standards and data privacy requirements (e.g., HIPAA, GDPR).
• Develop and enforce ethical AI guidelines.
• Mitigate potential biases in AI model development.
• Maintain high standards of responsible AI innovation.

Requirements

• Master’s degree or higher in Computer Science, Artificial Intelligence, Machine Learning, or a closely related technical field
• Minimum 5+ years of technical leadership 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
  • Multimodal AI system design
  • Agentic system development using frameworks like CrewAI, LangChain, and LangGraph
  • Machine learning model training and fine‑tuning
  • Cloud computing infrastructure (AWS preferred)
  • AI/ML frameworks and development tools (e.g., TensorFlow, PyTorch, Hugging Face)
• Experience with 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.
• Knowledge of healthcare technology landscapes and regulatory environments (e.g., HIPAA, GDPR) is a plus.
• Awareness of emerging AI technologies, including agentic systems, MCP, A2A protocol and their potential applications.
• 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.

About GW RhythmX

GW RhythmX is revolutionizing healthcare through connected, AI‑native intelligence that unites clinical insight, patient engagement, and system‑wide care orchestration. The company combines market‑leading AI precision care technology with extensive trusted patient engagement leadership to help health systems deliver the right care, at the right time, through the right clinician and channel. Its solutions are deployed across more than 150 health systems, touching more than 85M patients including 8M U.S. military veterans. The company’s award‑winning solutions were recognized again in 2024 by KLAS Research, Fierce Healthcare, and AVIA Marketplace. A SymphonyAI Group company, GW RhythmX leverages various firm assets, including $1B+ in R&D investment, longitudinal data related to 300 million patients, 4.4 billion total annual claims, and 1.8 million healthcare professionals at more than 3,000 facilities globally.

GW RhythmX is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or veteran status.