[Hiring] Software Engineer - AI Systems @Stanbridge University

Role Description

Stanbridge University is seeking Software Engineers – AI Systems (Go) to design, build, and operate production AI systems that perform complex, multi-stage work reliably and at scale. This is a hands-on engineering role focused on a challenging class of problems:

• Long-running AI workflows that call models, tools, and external APIs.
• Maintain state across extended executions.
• Produce structured content and generated media.
• Interact with human reviewers.
• Recover from partial failures.
• Consistently deliver accurate results to users.

The core engineering challenges extend well beyond prompt development, including:

• Provider failures and rate limits.
• Interrupted workflows and changing state.
• Non-deterministic model behavior.
• Incorrect or unsupported outputs.
• Variable latency and cost.
• Deployments occurring while work is in progress.

The successful candidate will combine strong software and distributed-systems engineering judgment with practical experience building and operating LLM-backed applications, AI agents, or agent-based systems in production.

You will join at a stage where significant architecture remains to be designed and built. Engineers in this role will have substantial ownership over the patterns, services, infrastructure, and engineering standards that shape the University's AI systems.

Qualifications

• Substantial professional experience developing and operating production software, with strong experience in Go (Golang) or demonstrated depth in another backend language with the ability to become productive in Go quickly.
• Hands-on experience shipping an LLM-backed application, AI agent, or agent-based system into production and supporting it after deployment.
• Strong understanding of AI application architecture, including how models, agents, tools, APIs, data sources, services, and application logic interact.
• Demonstrated distributed-systems engineering knowledge, including concurrency, asynchronous processing, queues, idempotency, retries, partial failure, state management, and recovery.
• Experience designing systems that remain reliable when individual services, providers, or workflow stages fail.
• Demonstrated testing discipline for systems involving non-deterministic behavior.
• Strong experience designing and consuming HTTP APIs.
• Experience with relational databases, SQL, and persistent application state.
• Experience building, deploying, monitoring, and troubleshooting backend services in production environments.
• Understanding of software architecture, testing, debugging, observability, and production engineering practices.
• Ability to independently own ambiguous technical problems from investigation through production implementation.
• Strong analytical judgment and the ability to balance reliability, quality, performance, complexity, and cost.

Requirements

• Experience with AI agent frameworks, orchestration patterns, or custom agent architectures.
• Experience with retrieval-augmented generation (RAG), embeddings, vector databases, semantic search, or knowledge-retrieval architectures.
• Experience developing evaluation and observability systems for LLM applications.
• Experience with judge models, structured-output validation, evidence checking, or other AI quality-control mechanisms.
• Experience designing human-in-the-loop workflows involving review, approval, intervention, or modification of active workflow state.
• Experience with document processing, headless-browser rendering, text-to-speech, image generation, video generation, or other media pipelines.
• Experience with event-driven architectures, durable job queues, and asynchronous processing at scale.
• Experience with containers, cloud infrastructure, CI/CD, and production deployment environments.
• Understanding of prompt injection, authorization boundaries, data isolation, and security considerations.
• Experience developing systems in environments where the accuracy of generated output carries significant operational, regulatory, compliance, or safety implications.

Benefits

• Health Care Plan (Medical, Dental & Vision)
• Retirement Plan (401k)
• Exciting university events
• Seasonal motivational health and wellness challenges
• Work/Life Balance initiatives
• Onsite wellness program / Staff Chiropractor
• Life Insurance (Basic, Voluntary & AD&D)
• Paid Time Off (Vacation, Sick & Public Holidays)
• Family Leave (Maternity, Paternity)

Company Description

Stanbridge University is an Equal Opportunity Employer. We are committed to building a diverse and inclusive workplace. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, genetic information, sexual orientation, gender identity, or any other protected status. All qualified applicants are encouraged to apply.