Senior Full-Stack Engineer - St Louis, MO
100000 - 120000 USD per year
Company:Human Agency
Location:United States
Languages:English
Seniority level:Senior
Skills:
Backend DevelopmentPythonArtificial IntelligenceFrontend DevelopmentMachine LearningReact.jsRuby on RailsVue.JsCI/CDDevOpsSoftware Engineering
Requirements:
- 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.
- 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).
- Computer vision and OCR expertise (nice-to-have).
- Experience with authentication systems (e.g., Okta) and enterprise administrative tools (nice-to-have).
- Experience in DevOps, CI/CD pipelines, and secure release management (nice-to-have).
- Background in security evaluations, vulnerability assessments, and tool integrations (nice-to-have).
- 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.
- Excellent communication skills.
Responsibilities:
- Develop backend algorithms for content processing and LLM integration.
- Build APIs and services for content workflow management and scaling.
- Create secure PDF upload workflows with encryption.
- Integrate authentication mechanisms like Okta.
- Enable data recovery and auditing capabilities.
- Collaborate with AI/ML teams to operationalize models.
- Implement RAG use cases using vector databases.
- Design workflows for large-scale data processing for AI integrations.
- Establish CI/CD pipelines and formal release structures.
- Conduct security evaluations to identify vulnerabilities and optimize performance.
- Manage infrastructure and workflows for custom AI solutions.
- Build integrations and proof-of-concept applications leveraging AI technologies.
- Evaluate and implement tools for classification, indexing, and data management.
- Support the development of enterprise-grade AI solutions.
