AI Software Engineer (Remote – United States, Canada)
Salary: $170K - $190K USD
Role Overview
Join a fast-growing company revolutionizing how science is communicated by enabling researchers to create professional scientific graphics quickly and easily. Often referred to as the
Adobe or Canva for science , this company is on a mission to accelerate scientific discovery. With $17.04M in funding and a global presence, it is leveraging AI to further enhance its platform, ensuring scientists can visualize complex data with ease and precision.
Responsibilities
Design and implement AI-powered solutions that enhance the scientific visualization platform.
Collaborate with product and engineering teams to integrate AI into user-facing features and internal workflows.
Develop scalable, AI-driven applications using modern JavaScript frameworks and Python.
Optimize AI/ML models for performance, reliability, and scalability in production environments.
Build APIs and implement AI/LLM-based solutions beyond basic coding assistants like Copilot or Cursor.
Work across multiple codebases and technical domains without requiring extensive onboarding.
Translate business requirements into technical solutions, ensuring seamless AI adoption in production workflows.
Compensation
United States:
$170K - $200K USD (Bay Area, Seattle, New York)
United States:
$170K - $190K USD (Other US locations)
Canada:
$160K - $180K CAD
Requirements
7-12 years of full-stack software engineering experience, with expertise in
JavaScript (modern frameworks) and Python .
Proven experience integrating AI/ML models into production applications and AI-powered product development.
Strong
product engineering
background, working closely with product teams on user-facing features.
Preference for engineers who started in
software engineering
and later incorporated
AI/ML
into their work.
Experience working on
AI-native products , contributing to core functionalities.
Familiarity with
APIs for AI services (e.g., OpenAI)
or experience implementing
open-source models
into production.
Strong ability to explain technical concepts to non-technical stakeholders.
Experience with cloud infrastructure (AWS preferred) for AI/ML-driven applications.
Do Not Apply If You
Require visa sponsorship (H1B, TN, etc.).
Have a history of frequent short tenures (job hopping).
Have only worked in big corporations (Uber, Intel, etc.) without startup experience.
Come from an IT consulting background (Infosys, Tata, Capgemini, Cognizant, Wipro, etc.).
Graduated from coding bootcamps (Full Stack Academy, Hack Reactor, etc.).
Have fake or misrepresented profiles.
Apply now and be part of the future of AI-driven scientific visualization!
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