Senior Software Engineer – SaaS, AI

Aravo Solutions - Integrated Risk & Resilience

. Collaborate closely with Product Management to translate complex business and technical concepts into actionable deliverables for a multi-tenant, cloud-native AI platform .

Posted 9/22/2026full-timeUnited StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and deploying AI models on GPU infrastructure, with a strong focus on Java and Python programming. Proficient in data architecture, RESTful API development, and ensuring compliance with security and performance standards.

Highest-signal resume keywords

Java-Based SystemsPython ProficiencyNLP and Neural NetworksRESTful API DevelopmentAI Model Deployment on GPUs

ATS Keywords

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Hard Skills

JavaPythonAI/ML LibrariesNLPNeural NetworksRESTful APIsData ArchitectureDatabase DesignSchema ManagementUnix/Linux Scripting

Soft Skills

Excellent CommunicationOrganizational SkillsInterpersonal Skills

Tools & Technologies

AI InfrastructureModel Context Protocol (MCP)API GatewaysOAuthJWT

Certifications & Qualifications

Bachelor's in Computer ScienceEngineering Degree

Industry Keywords

Cloud-NativeMulti-TenantHigh AvailabilityAgileScrum

Tech Stack

Tools & technologies

CloudJavaLinuxPythonUnix

About the role

Key responsibilities & impact

Collaborate closely with Product Management to translate complex business and technical concepts into actionable deliverables for a multi-tenant, cloud-native AI platform
Design and extend tooling that maps AI outputs onto structured, customer-specific data models
Build and evolve RAG pipelines for document parsing and question answering
Develop and maintain multiple agent types, including authentication, error handling, and observability
Design for scale, supporting high availability, multi-tenancy, and rapid growth
Deploy and operate ML models on GPU infrastructure in production
Ensure integrations meet security, compliance, and performance requirements
Provide technical leadership through design reviews, code reviews, and mentorship of other engineers
Work closely with Product Management, DevOps, and other engineering teams to align technical decisions with business goals
Deliver progressively more capable and high-performing AI/agent functionality

Requirements

What you’ll need

Bachelor's in Computer Science, Engineering, or equivalent experience in a related field
7+ years of software engineering experience, with a strong focus on Java-based systems
Proficiency in Python, including AI/ML libraries and PDF extraction
Deep understanding of NLP, neural networks, and LLMs, with the ability to implement concepts from technical research papers
Extensive experience building and consuming RESTful APIs
Strong data architecture skills, including database design, data modeling, and schema management with relational and non-relational databases
Use of AI technologies in production systems
Excellent communication, organizational, and interpersonal skills
Agile/Scrum or other iterative methodology experience
Adept at designing solutions in public, private, and hybrid infrastructure models
Knowledge of AI infrastructure, LLM APIs, and experience with Model Context Protocol (MCP) or similar AI agent frameworks
Experience deploying ML models to GPUs in production environments
Experience with enterprise integrations or third-party/vendor systems
Familiarity with API gateways and security standards (OAuth, JWT)
Comfortable in Unix/Linux scripting environments

Benefits

Comp & perks

100% Employer Paid Medical Insurance options for the Employee and Family
Paid Maternity and Paternity Leave
Life and AD&D Insurance
Long-Term Disability Insurance
401K with Company Matching
Equity Participation
4 Weeks of Vacation
Fully Stocked Kitchens
Company-Sponsored Charitable Day of Giving Events
Competitive compensation and benefits packages
Opportunities for professional development