Offer summary

Qualifications:

Proficiency in Python and Ruby on Rails with significant backend experience., Experience in designing secure systems and integrating generative AI tools into SaaS applications., Strong knowledge of RAG techniques and vector databases., Frontend development experience in modern frameworks like React or Vue..

Key responsibilities:

Lead development initiatives for SaaS applications and backend algorithms.

Collaborate with AI/ML teams to operationalize models and enhance application functionality.

Establish CI/CD pipelines and conduct security evaluations for software delivery.

Build integrations and proof-of-concept applications leveraging AI technologies.

Job description

Job Title: Senior Full-Stack Engineer
Location: Remote (Preference for candidates in the US)

Human Agency

At Human Agency, we are shaping the future by combining cutting-edge AI solutions with intuitive software development. We specialize in building scalable and secure SaaS applications that empower enterprise clients to solve complex problems efficiently. As part of our team, you'll work on high-impact projects at the intersection of AI, machine learning, and secure software engineering.

We’re seeking a Senior Full-Stack Engineer to join our growing team. In this role, you'll lead development initiatives, contribute to our SaaS products, and tackle exciting challenges in backend architecture, frontend design, and AI/ML integrations with a particular focus on generative AI technologies.

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 (Optical Character Recognition) and generative AI-based solutions (e.g., GPT models).
Implement RAG (Retrieval-Augmented Generation) 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.

If you're excited about working on secure, scalable systems while integrating advanced AI and ML capabilities, we’d love to hear from you.

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