Senior Full-Stack Engineer - Chicago, IL

Posted 18 days agoViewed
100000 - 120000 USD per year
United StatesFull-TimeSoftware Development
Company:Human Agency
Location:United States
Languages:English
Seniority level:Senior
Skills:
Backend DevelopmentPythonSoftware DevelopmentSQLArtificial IntelligenceFrontend DevelopmentMachine LearningRuby on RailsCI/CDRESTful APIsDevOps
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 automated and manual testing experience. Ability to manage data recovery, audits, and compliance workflows. Strong problem-solving and analytical skills. Excellent communication skills and ability to work collaboratively.
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, and enterprise administrative tools. Collaborate to operationalize AI/ML models (OCR, generative AI). Implement RAG use cases using vector databases and embedding techniques. Design large-scale data processing workflows for AI integration. Establish CI/CD pipelines and formal release structures. Conduct security evaluations and optimize performance. Manage infrastructure for custom AI solutions. Build integrations and proof-of-concept applications. Evaluate and implement tools for classification, indexing, and data management. Support development of enterprise-grade AI solutions and custom LLMs.
About the Company
Human Agency
11-50 employeesDigital Marketing
View Company Profile
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