Software Engineer - AI
Confirmed on the employer's own hiring board on Oct 12, 2026. First seen by Alion on Sep 9, 2026.
About Us
Since 1989, SHI International Corp. has helped organizations change the world through technology. We’ve grown every year since, and today we’re proud to be a $16 billion global provider of IT solutions and services.
Over 17,000 organizations worldwide rely on SHI’s concierge approach to help them solve what’s next. But the heartbeat of SHI is our employees - all 7,000 of them. If you join our team, you’ll enjoy:
Our commitment to diversity, as the largest minority- and woman-owned enterprise in the U.S.
Continuous professional growth and leadership opportunities.
Health, wellness, and financial benefits to offer peace of mind to you and your family.
World-class facilities and the technology you need to thrive - in our offices or yours.
Job Summary
Join SHI's Applied AI team and help build the next generation of AI-powered business applications. You'll develop Python services, APIs, and data-driven solutions across cloud and on-premises environments while working with technologies from NVIDIA, Microsoft, and Google. This role is ideal for engineers who love solving complex problems, building production software, and learning new technologies in a fast-moving AI landscape.Role Description
Design and develop Python-based services, APIs, and AI-enabled applications that solve real business problems.
Build applications that process and present data from enterprise systems, databases, and external services.
Integrate AI capabilities into production software using modern techniques such as prompt orchestration, RAG, tool use, and agent-based workflows.
Design application architectures that balance scalability, maintainability, security, and performance.
Implement modern authentication and authorization patterns across application and API layers.
Contribute across the full stack, including React-based user interfaces and data integration.
Work with technologies and platforms across the Microsoft, Google, NVIDIA, and broader AI ecosystems.
Behaviors and Competencies
Communication: Can effectively communicate complex ideas and information, and can adapt communication style to the audience.
Listening: Can recognize underlying messages and non-verbal cues in communication, responding appropriately to both explicit and implicit information.
Presenting: Can prepare and deliver presentations, addressing key points and responding to questions with clarity.
Adaptability: Can adjust to changes in the work environment, manage multiple tasks, and effectively handle uncertainty.
Problem-Solving: Can identify problems, propose solutions, and take action to resolve them without explicit instructions.
Initiative: Can identify opportunities for improvement, propose solutions, and take action without explicit instructions.
Prioritization: Can identify critical tasks, arrange them based on importance, and execute without explicit instructions.
Time Management: Can generally use time effectively and is working towards improving task prioritization and deadline management.
Technical Expertise: Can apply technical knowledge and skills effectively in most situations, with occasional guidance.
Teamwork: Can work effectively in a team, contributing ideas and effort, and respecting the contributions of others.
Skill Level Requirements
Bachelor's degree or equivalent professional experience.
4+ years of professional software development experience building production applications.
Strong Python development skills.
Experience building APIs, backend services, and data-centric applications.
Experience working with SQL and relational databases.
Experience with React or another modern web framework.
Familiarity with cloud-native development, containers, source control, and CI/CD practices.
Ability to learn and apply new technologies in a rapidly evolving environment.
Strong problem-solving and communication skills.
Ability to travel up to 10%.
Preferred Qualifications
Experience building AI-enabled applications using LLMs, RAG, agents, MCP, or similar technologies.
Experience with Microsoft Azure, Google Cloud, NVIDIA AI software, or similar platforms.
Experience designing distributed or event-driven systems.
Consulting or customer-facing delivery experience.
Experience with NVIDIA Blueprints, NIMs, and CUDA.
The estimated annual pay range for this position is $125,000 - $150,000 which includes a base salary and bonus. The compensation for this position is dependent on job-related knowledge, skills, experience, and market location and, therefore, will vary from individual to individual. Benefits may include, but are not limited to, medical, vision, dental, 401K, and flexible spending.
Equal Employment Opportunity - M/F/Disability/ProtectedVeteran Status