Senior Full-Stack Engineer - Boston, MA

Posted 29 days agoViewed
United StatesFull-TimeAI, SaaS Development
Company:Human Agency
Location:United States
Languages:English
Seniority level:Senior
Skills:
Backend DevelopmentPythonSoftware DevelopmentArtificial IntelligenceFrontend DevelopmentMachine LearningRuby on RailsCI/CDDevOps
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 (OpenAI APIs, LangChain, Hugging Face). Strong knowledge of RAG techniques, vector databases (Pinecone, Weaviate), and embedding pipelines. Ability to operationalize AI/ML models and build workflows for enterprise clients. Frontend development experience in modern frameworks (React, Vue). Computer vision and OCR expertise (nice-to-have). Experience with authentication systems (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 and vulnerability assessments (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. Create secure PDF upload workflows with encryption. Integrate authentication mechanisms like Okta. Enable data recovery, auditing capabilities, and administrative tools. Collaborate with AI/ML teams to operationalize models. Implement RAG use cases using vector databases and embedding techniques. Design workflows for large-scale data processing for AI integrations. Establish CI/CD pipelines and release structures. Conduct security evaluations and optimize performance. Manage infrastructure and workflows for custom AI solutions. Build integrations and proof-of-concept applications with AI technologies. Evaluate and implement tools for classification, indexing, and data management. Support the development of enterprise-grade AI solutions.
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