Staff AI Engineer

Docent (now Get Well); Bengaluru; Presencial; INR 4.000.000 - 8.500.000; Jornada completa

Descripción de la vacante

Get Well, now part of the SAI Group, seeks a Staff AI Engineer to lead development and deployment of advanced AI solutions for healthcare, focusing on LLMs, multimodal systems and agentic workflows. You will collaborate with AI engineering, product and clinical teams to translate capabilities into scalable, patient‑centric products, ensure testing and observability, and drive reliable deployments.

The role requires a Master’s or higher, 10+ years in AI/ML with 3+ years in healthcare or related

Formación

• Master’s degree or higher in Computer Science, AI/ML or related field.
• 10+ years of AI/ML experience with at least 3 years in technical roles.
• Proven track record delivering complex AI healthcare solutions.

Responsabilidades

• Design, develop, and deploy AI solutions using LLMs and agentic systems.
• Collaborate with AI, product and clinical teams to translate capabilities into product requirements.
• Optimize cloud-based AI infrastructure for scalability and reliability.
• Establish testing and validation protocols for AI models.
• Drive observability and continuous performance improvement.

Conocimientos

LLM architectures

Multimodal AI design

Agentic systems

Model training/fine-tuning

Python programming

C++ programming

Agile/project management

Communication

Mentoring

Regulatory knowledge (healthcare)

Educación

Master’s degree or higher in Computer Science/AI/ML

Herramientas

TensorFlow

PyTorch

Hugging Face

LangChain

LangGraph

AWS

Langfuse

Prometheus

Grafana

Descripción del empleo

Opportunity

Get Well is seeking a highly skilled and proficient Staff AI Engineer to drive the development and implementation of advanced AI solutions. This role focuses 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. You will work closely with AI engineering teams, product teams, and cross-functional stakeholders to translate technological capabilities into impactful healthcare solutions, serving as a key technical liaison.

AI Solution Development

• 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.

Cross-Functional Collaboration

• Serve as primary technical 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 and knowledge sharing

Infrastructure and Optimization

• Optimize cloud-based AI infrastructure for scalability, performance, and reliability.
• 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
• Drive continuous improvement in AI model accuracy, efficiency, and robustness.

Monitoring and Observability

• Implement and manage monitoring solutions for AI systems using tools such as Langfuse, Prometheus, Grafana, or equivalent platforms to ensure operational health and performance.
• 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.

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 to mitigate biases
• Uphold high standards for secure handling of sensitive information, including ePHI and PHI, per federal, state, and local regulations.

Requirements

• 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
• 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)
• 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 Get Well

Now part of the SAI Group family, Get Well is redefining digital patient engagement by putting patients in control of their personalized healthcare journeys, both inside and outside the hospital. Get Well is combining high-tech AI navigation with high-touch care experiences driving patient activation, loyalty, and outcomes while reducing the cost of care. For almost 25 years, Get Well has served more than 10 million patients per year across over 1,000 hospitals and clinical partner sites, working to use longitudinal data analytics to better serve patients and clinicians. AI innovator SAI Group led by Chairman Romesh Wadhwani is the lead growth investor in Get Well. Get Well's award-winning solutions were recognized again in 2024 by KLAS Research and AVIA Marketplace. Learn more at Get Well and follow-us on LinkedIn and Twitter.

Get Well 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.

About SAI Group

• SAIGroup commits to $1 Billion capital, an advanced AI platform that currently processes 300M+ patients, and 4000+ global employee base to solve enterprise AI and high priority healthcare problems.
• SAIGroup - Growing companies with advanced AI; https://www.cnbc.com/2023/12/08/75-year-old-tech-mogul-betting-1-billion-of-his-fortune-on-ai-futu re.html
• Bio of our Chairman Dr. Romesh Wadhwani: Team - SAIGroup (Informal at Romesh Wadhwani - Wikipedia)
• TIME Magazine recently recognized Chairman Romesh Wadhwani as one of the Top 100 AI leaders in the world - Romesh and Sunil Wadhwani: The 100 Most Influential People in AI 2023 | TIME