Senior Full-Stack Engineer

Location: US or Canada
Type: US Applicants - Full-Time; Canadian Applicants - Independent Contractor

SENIOR FULL-STACK ENGINEER

Responsibilities

• SaaS Application Development
  • Detection
    • Develop backend algorithms to process articles, chunk content, and integrate with LLMs for predictive text generation.
    • Build APIs and services to manage and scale the application’s content workflow.
  • Protection
    • Create secure PDF upload workflows with encryption to ensure compatibility with Adobe Acrobat.
    • Integrate authentication mechanisms like Okta for enterprise customer admin management.
    • Enable data recovery, auditing capabilities, and enterprise-grade administrative tools.
• AI/ML and Algorithm Development
  • Collaborate with AI/ML teams to operationalize models such as OCR and generative AI-based solutions (e.g., GPT models).
  • Implement RAG use cases using vector databases and data embedding techniques to enhance application functionality.
  • Design workflows for large-scale data processing that enable efficient AI integrations and create dynamic AI-first features, such as custom GPTs tailored to enterprise needs.
• DevOps & Operationalization
  • Establish CI/CD pipelines and formal release structures for software delivery.
  • Conduct security evaluations to identify vulnerabilities and optimize performance across AI-driven SaaS applications.
  • Manage infrastructure and workflows for custom AI solutions, including tools like Snowflake and LangChain.
• Future-Focused Development
  • Build integrations and proof‑of‑concept applications leveraging company‑specific datasets and AI technologies.
  • Evaluate and implement tools for classification, indexing, and secure data management that incorporate the latest in generative AI advancements.
  • Support the development of enterprise‑grade AI solutions, including internal AI models and custom LLMs.

Requirements

• Core Technical Skills
  • Proficiency in Python and Ruby on Rails, with significant backend experience.
  • Experience in designing secure systems, including encryption workflows and document protection mechanisms.
  • Hands‑on expertise in integrating generative AI tools, such as OpenAI APIs, LangChain, or Hugging Face frameworks, into SaaS applications.
  • Strong knowledge of RAG techniques, vector databases (e.g., Pinecone, Weaviate), and embedding pipelines.
  • Ability to operationalize AI/ML models and build workflows for enterprise clients.
  • Frontend development experience in modern frameworks (e.g., React, Vue), with the ability to assess and recommend appropriate tech stacks.
• Nice‑to‑Have Skills
  • Computer vision and OCR expertise, especially for processing and indexing complex document workflows.
  • Experience with authentication systems (e.g., Okta) and enterprise administrative tools.
  • Experience in DevOps, CI/CD pipelines, and secure release management.
  • Background in security evaluations, vulnerability assessments, and tool integrations.
• Other Requirements
  • Strong testing background with experience in automated and manual testing.
  • Ability to manage data recovery, audits, and compliance workflows.
  • Strong problem‑solving and analytical skills, with attention to detail in complex environments.
  • Excellent communication skills and the ability to work collaboratively across teams.

Why Join Us?

• Be part of a cutting‑edge team solving complex problems in AI and SaaS development.
• Work on impactful projects with enterprise clients and cutting‑edge technologies.
• Grow your career in a collaborative, innovative, and supportive environment.

Human Agency is an Equal Opportunity Employer. We value diverse backgrounds and strive to build an inclusive culture where everyone feels welcomed and empowered.