Staff/Principal AI Engineer

Overview

What will you do?

Technical Strategy & Architecture:
● Define technical roadmap for evolving from prompt-based systems to RAG and AI
agents
● Drive architectural decisions for scalable, cost-effective Gen AI solutions in
healthcare
● Oversee model evaluation, selection, and deployment strategies across multiple
medical specialties
● Ensure technical debt management and maintainable code standards across the
team
● Lead technical design reviews and architecture discussions
● Stay current with Gen AI research and translate innovations into product capabilities

Product & Project Delivery:
● Collaborate with Product, Clinical, and Business teams to translate requirements
into technical solutions
● Manage project timelines, resource allocation, and delivery commitments for Gen AI
initiatives
● Drive cross-functional collaboration to ensure seamless integration of AI capabilities
● Oversee A/B testing, experimentation, and data-driven decision making for AI
features
● Ensure compliance with healthcare regulations (HIPAA) and coding standards
(ICD-10, CPT)

Operational Excellence & Cost Management:
● Implement monitoring, observability, and SLA management for production Gen AI
systems
● Drive cost optimization initiatives for LLM usage, infrastructure, and data processing
● Establish best practices for Gen AI MLOps, including model versioning and
deployment pipelines
● Ensure system reliability, scalability, and performance optimization
● Lead incident response and post-mortem processes for AI system issues
Strategic Planning:
● Partner with leadership to define Gen AI strategy and competitive positioning
● Evaluate build vs buy decisions for Gen AI capabilities and tooling
● Drive innovation initiatives and proof-of-concept development for new AI
applications
● Represent engineering in executive discussions about AI roadmap and investment
priorities

We are looking for someone with:

Gen AI & Technical Expertise:
● 3+ years hands-on experience with Deep Learning, Large Language Models and Gen
AI applications and total 10+ Years of Exp in Data Science/ML roles.
● Deep understanding of RAG architectures, vector databases, and AI agent
frameworks
● Experience with production Gen AI systems: deployment, monitoring, and cost
optimization
● Knowledge of model evaluation, fine-tuning, and prompt engineering best practices
● Understanding of MLOps practices for LLM deployments and model lifecycle
management

Healthcare & Regulatory Knowledge:
● Experience with healthcare technology, clinical workflows, or medical data
(preferred)
● Understanding of healthcare compliance requirements (HIPAA, FDA regulations)
● Knowledge of medical coding standards (ICD-10, CPT, SNOMED-CT) is a plus
● Experience with regulated industries and quality assurance processes

Technical Leadership:
● Strong software engineering background with expertise in Python, cloud platforms
(AWS/Azure/GCP)
● Experience with distributed systems, microservices architecture, and API design
● Understanding of data engineering, ETL pipelines, and real-time processing systems
● Knowledge of modern development practices: CI/CD, testing, code review, agile
methodologies

Business Acumen:
● Experience translating business requirements into technical solutions
● Understanding of cost optimization and budget management for AI/ML projects
● Ability to communicate technical concepts to non-technical stakeholders
● Experience with product development lifecycle in fast-paced startup environment

Strategic Thinking:
● Proven ability to define and execute technical roadmaps
● Experience with technology evaluation, vendor management, and build vs buy
decisions
● Understanding of AI/ML market landscape and competitive positioning
● Track record of driving innovation while maintaining operational excellence

What do we offer?
● Exceptional total compensation with equity upside
● Hybrid Setup with flexible working arrangements
● Opportunity to lead cutting-edge Gen AI applications in healthcare
● Work with a world class team solving critical problems in healthcare automation
● Leading healthcare benefits and comprehensive wellness programs
● Professional development budget for conferences, training, and certifications
● Direct impact on healthcare providers and patient outcomes across the USA