Staff/Principal AI Engineer

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