Software Engineer (SaaS Platform/AI)

OBERON TECHNOLOGIES; United States; Remote; USD 90,000 - 120,000; Full time

Job summary

A tech-driven company in the United States seeks an experienced Software Engineer (SaaS Platform/AI) to join their team. The role involves designing and implementing a web delivery toolset and optimizing applications for performance. Candidates should have strong skills in AI-assisted development, familiarity with various web technologies, and the ability to work independently as well as in collaboration with others. Preference will be given to those with a DevOps background.

Qualifications

• Experienced full-stack web developer.
• Familiarity with human-computer interaction principles.
• Comfortable with AI-generated code integration.

Responsibilities

• Assist with design and implementation of web delivery toolset.
• Optimize application for usability and performance.
• Collaborate with team members and stakeholders.

Skills

AI-assisted development

Linguistic Model APIs integration

RAG architectures

HTML5

CSS

Java

Tools

Spring Framework

Docker

SQL

AWS

Job description

Job Title: Software Engineer (SaaS Platform/AI)

For this position we are looking for an experienced, creative, disciplined, full stack web developer to join a team that is building an innovative toolset to help information owners provide customized web portal delivery of high volumes of structured interlinked documents and metadata. The successful applicant will demonstrate high competence in basic web technologies, and a good understanding of human-computer interaction for hypermedia applications.

Responsibilities

• Assist with design and implementation of web delivery toolset
• Optimize application for usability, performance, and scalability
• Collaborate with other team members and stakeholders
• Provide support and services assistance for the full platform and supplemental tools

Skills & Qualifications

This position will require skill in working with the latest tools for AI-assisted development, to include:

• Ability to validate, refactor, and productionize AI-generated code
• Experience integrating LLM APIs into production systems
• Familiarity with RAG architectures and vector databases
• Understanding of prompt injection, AI safety, and output validation

Our current technology stack requires familiarity and comfort working in some of the following areas, and a demonstrated ability to pick up new technologies quickly:

• HTML5 CSS
• XML scss
• Apache freemarker HTTP
• jQuery JSON
• XSLT2
• Spring Framework and Spring Boot
• Java
• RESTful APIs
• SQL and noSQL databases

Our application is moving toward full linked data capabilities across XML and RDF data sources, which will require familiarity with the following additional technologies:

• RDF SPARQL
• OWL SKOS
• d3.js xAPI
• turtle JSON-LD

Preferred Skills

Preference will be given to applicants with DevOps and DevSecOps background, including in cloud infrastructure, CI/CD automation, container orchestration (Docker or K8s), monitoring solutions, performance engineering and testing, as well as Linux and AWS experience.

Additional Attributes

• Ability to work independently, as well as collaboratively, within a team
• Human computer interaction
• Self-starter, knowledge sharing, requirements analysis
• Comfortable participating in virtual meetings with internal and external stakeholders (camera on), and face-to-face communications