Staff Engineer AI/ML

AnswersNow Inc•,

1d•$150,000 - $215,000•Remote

About The Position

At AnswersNow, we are trailblazing the future of autism therapy, making it more immediate, accessible, and effective for families everywhere. Our innovative virtual ABA therapy platform is thoughtfully designed by clinicians to recreate the focused, supportive environment of in-person therapy, complete with distraction-free features and interactive activities that enhance engagement and progress. Our team operates fully remote—meaning you’ll have the flexibility to work from the comfort of home. If you're ready to make a meaningful impact and join a team that's reshaping autism therapy, we’d love to hear from you!

Requirements

8+ years of professional software engineering experience, with at least 3 years in a senior or staff-level role
Deep expertise in JavaScript and TypeScript in a production full-stack environment
Strong command of React, Node.js/Express, and Postgres — you can reason about performance, reliability, and maintainability at each layer
Proven experience designing and owning distributed systems or data pipeline architectures on AWS (ECS, RDS, S3, Lambda experience valued)
Track record of technical mentorship — you've made engineers around you measurably better
Excellent written and verbal communication; you can write an architecture doc, run a design review, and brief a non-technical executive in the same day
Experience working in or leading engineering at a growth-stage startup — you understand the balance between velocity and sustainability
Significant experience architecting and deploying production-grade ML/AI systems, including LLM integration and model lifecycle management.

Nice To Haves

Experience with healthcare or regulated data environments (HIPAA compliance, PHI handling)
Familiarity with event-driven architectures, message queues, or streaming pipelines
Prior experience as an engineering manager who returned to an IC track (player-coach background welcome)
Contributions to open source or engineering blog posts / conference talks
Familiarity with ETL pipelines, AI/LLM integration patterns, or data-intensive systems is a strong plus

Responsibilities

Own and evolve the architecture of our core platform: React frontend, Node.js/Express APIs, Postgres, and AWS ECS infrastructure
Drive our JavaScript → TypeScript migration, establishing patterns, tooling, and standards the team can follow
Design and extend our ETL pipeline and config-driven AI integration framework, enabling engineers to ship AI-powered features faster and more reliably
Lead technical design reviews, create architecture decision records (ADRs), and ensure engineering decisions are documented and defensible
Identify and resolve systemic technical debt — not just flagging it, but owning the plan to address it
Define and execute the technical strategy for integrating ML/AI models into our core platform, ensuring scalability, performance, and reliability.
Mentor engineers across all levels — pair, review, coach, and grow the team's collective capability
Establish and maintain engineering standards: code quality, testing practices, observability, on-call runbooks, and incident response
Serve as a technical resource and thought partner for product, clinical, and business stakeholders
Help define the engineering hiring bar and participate in the interview process
Partner with engineering leadership and product to scope, sequence, and de-risk large technical initiatives
Lead by example on production support — define runbooks, own post-mortems, and drive systemic fixes from incidents
Work across UI, API, DB, and infrastructure layers with genuine depth in at least two