# Jobgether — Principal Engineer, Applied AI (Fullstack/Backend) - Generated: 2026-09-10 07:40:41 AM EDT - Original/canonical posting: https://www.linkedin.com/jobs/view/4464188230/ - Provider: LinkedIn - Posted: approximately 2026-09-10 02:40 AM EDT (from '5 hours ago') - Elapsed since posting: represented by the provider's relative posting label and approximate Eastern timestamp - Applicants: Be among the first 25 applicants - Work model/location: Fully remote — United States - Compensation: $290,000-$330,000 base plus equity - Travel: Not disclosed - Positioning track: Technical IC - Fit outcome: PASS — 95% ## Direct-match strengths 29 years of software architecture, full-stack and backend systems, production AI, AWS, reliability, observability, debugging, APIs, distributed services, platform design, technical strategy, ambiguity resolution, and mentorship; supported healthcare and regulated-software context. ## Hard or material gaps The end employer is unnamed because Jobgether is listing on behalf of a partner. Keith's recent strongest stack is Python/AWS rather than a disclosed employer-specific backend stack, but the JD does not require a named language or framework. ## Evidence map 1. 15+ years software engineering and architecture (weight 3, evidence 3/3) — 29 years of software architecture with repeated production delivery. 2. Scalable full-stack/backend services (weight 3, evidence 3/3) — Direct full-stack SaaS, APIs, microservices, distributed systems, and cloud platform evidence. 3. Production reliability and observability (weight 3, evidence 3/3) — Direct 99.9% uptime, monitoring, security, CI/CD, and operational ownership. 4. Applied AI productionization (weight 3, evidence 3/3) — Built AssistX from architecture and code through production operations. 5. Enterprise technical strategy (weight 3, evidence 3/3) — Led architecture and strategy across AWS, MassMutual, TriMark, and product companies. 6. Hands-on coding (weight 3, evidence 3/3) — Built the AssistX core and first 80% of its HR application hands-on. 7. Mentoring senior technical talent (weight 2, evidence 3/3) — Mentored engineers and built global AWS specialist communities. 8. Healthcare/clinical collaboration (weight 2, evidence 2/3) — Healthcare, HIPAA, FDA-cleared, and life-sciences experience is direct; clinical-care workflows are adjacent. ## Keyword diagnostic Direct coverage of the architecture, hands-on productionization, reliability, AI integration, mentorship, and cross-organizational technical leadership mandate. ## Full normalized job description This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Principal Engineer, Applied AI (Fullstack/Backend) based in the United States. This is a high-impact technical leadership role focused on transforming AI experimentation into reliable, production-grade experiences. You will architect the services and systems that power patient-facing experiences from initial intake through ongoing digital care interactions. Working at the intersection of applied AI, backend engineering, and product development, you will turn promising ideas into scalable solutions. You will establish engineering standards around reliability, observability, debugging, performance, and operational readiness from the outset. The role combines hands-on architecture and coding with organization-wide technical influence and mentorship of senior engineering talent. You will work closely with research, product, and clinical stakeholders while navigating ambiguity and accelerating strategic initiatives. This remote opportunity is ideal for a seasoned engineer who wants to shape how AI transforms a modern healthcare technology stack. Accountabilities Own the overall architecture of the Applied AI technology stack, designing how services integrate into a cohesive, end-to-end patient-facing experience. Architect and evolve scalable backend and fullstack services supporting AI-powered experiences from intake through ongoing customer interactions. Partner with research and experimentation teams to productionize emerging AI capabilities, introducing the engineering rigor required for reliability, uptime, maintainability, and scale. Establish strong practices for observability, debugging, monitoring, resilience, and operational readiness across production systems. Design systems and team boundaries that enable sustainable technical and organizational growth while addressing non-functional priorities early. Balance near-term product delivery with long-term architectural durability, scalability, system health, and customer experience. Translate customer and product needs into resilient technical architectures that anticipate clinical complexity and future growth. Influence technical strategy and lead cross-organizational engineering initiatives, creating alignment and momentum across teams. Navigate ambiguity by clarifying ownership, resolving blockers, simplifying decisions, and accelerating execution of strategic initiatives. Mentor senior technical leaders and engineers, strengthening technical standards, talent development, feedback, and continuous learning. Champion customer-centric engineering principles and architectural patterns that embed customer needs into the platform. Identify and proactively address scalability constraints, migration needs, reliability gaps, and organizational dependencies before they become critical issues. Requirements 15+ years of professional software engineering experience, with deep architectural expertise and a strong record of delivering production systems at scale. Proven experience influencing technical strategy and delivering complex, cross-organizational engineering initiatives at a group or enterprise level. Extensive experience designing, launching, and operating highly scalable production services with a focus on robustness, reliability, observability, and debuggability. Deep understanding of full-stack service architecture and how multiple services should work together to create cohesive product experiences. Strong hands-on engineering capabilities and a desire to remain close to code, architecture, and technical implementation rather than operating solely at the roadmap level. A demonstrated productionization mindset, particularly the ability to bring engineering discipline and operational excellence to fast-moving research and experimentation environments. Exposure to LLMs, AI services, or AI-powered applications, with an understanding of how these technologies can be integrated into production software systems. Ability to make thoughtful architectural decisions that balance immediate business needs with long-term scalability and sustainability. Strong communication and collaboration skills, with the ability to work effectively across engineering, research, product, and clinical functions. Demonstrated ability to create alignment and momentum in ambiguous or complex technical environments. Strong customer orientation and the ability to translate customer needs into scalable, resilient backend and platform solutions. Proven mentoring and leadership capabilities, particularly in developing senior engineering talent and reinforcing high technical standards. Curiosity, adaptability, humility, transparency, and sound judgment when making decisions in rapidly evolving environments. A proactive, action-oriented approach to identifying blockers, resolving dependencies, and improving execution without requiring perfect clarity. Interest in helping define how AI can reshape both technology infrastructure and customer-facing products from the ground up. Benefits Fully remote position for U.S.-based employees. Competitive compensation of $290,000–$330,000 USD, depending on skills, experience, training, certifications, and location. Equity opportunity as part of the broader total rewards package. Comprehensive benefits designed to support employee well-being and long-term growth. Opportunity to work on high-impact AI applications within a rapidly evolving healthcare technology environment. Significant technical ownership and influence over production architecture and the future direction of AI-powered experiences. Collaborative environment spanning engineering, research, product, and clinical teams. Opportunity to mentor senior technical talent and influence engineering standards across the organization. Commitment to diversity, inclusion, ethics, wellness, and a strong sense of belonging. Reasonable accommodations available for qualified individuals with disabilities and disabled veterans. Consideration for qualified applicants in accordance with applicable fair-chance employment laws. How Jobgether Works We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. ## Artifact metadata - Resume: https://bit.ly/4hizHTr - Cover letter: https://bit.ly/4gGCE00 - Validation: PASS — 2-page resume (944 words), 1-page cover letter (227 words); PDF geometry, bounds, annotations, links, and visual pages verified. - Google Drive used: No