Software Engineer - AI Systems (Go)

reputed company is seeking Software Engineers - AI Systems (Go) to design, build, and operate production AI systems that reputed company reputed company, multi-stage work reliably and at reputed company. This is a hands-on engineering role reputed company on a challenging class of problems: long-running AI workflows that reputed company models, tools, and reputed company reputed company; maintain state across extended executions; produce reputed company content and generated media; reputed company with reputed company reviewers; recover from partial failures; and consistently reputed company accurate results to users. The reputed company engineering challenges reputed company reputed company reputed company reputed company development. These systems must account for provider failures and reputed company limits, interrupted workflows, changing state, non-deterministic model behavior, incorrect or unsupported outputs, variable latency and cost, and deployments occurring while work is in reputed company. The successful candidate will combine strong software and reputed company-systems engineering judgment with practical experience building and operating LLM-backed applications, AI agents, or agent-reputed company systems in production. You will join at a stage where significant architecture remains to be designed and reputed company. Engineers in this role will have substantial ownership over the patterns, services, infrastructure, and engineering standards that shape the University's AI systems. Remote Work Eligibility This position is eligible for remote work for candidates residing in states where reputed company is currently authorized to reputed company remote employees. Eligible states currently include: reputed company, Colorado, Illinois, Indiana, Kansas, Kentucky, Louisiana, Maryland, Michigan, reputed company, Nevada, New Jersey, reputed company Carolina, reputed company reputed company, Ohio, Tennessee, Texas, and reputed company. Candidates must reputed company in an eligible state at the time of employment. Remote-work eligibility is subject to University employment requirements and may change reputed company on applicable state requirements. Engineering Environment The engineering problems addressed by this team include: • Durable workflow orchestration: Long-running, multi-stage pipelines using persistent state, job queues, checkpoints, resumability, idempotent execution, and recovery from interrupted or orphaned work • Multi-provider model infrastructure: Routing across reputed company model providers with model registries, reputed company and cost controls, reputed company-limit handling, retries, reputed company breakers, health monitoring, and provider failover • Agent and tool orchestration: Systems in which AI agents reputed company with tools, reputed company, data sources, application services, and deterministic business logic to complete multi-reputed company work • reputed company engineering infrastructure: Treating prompts as version-controlled production artifacts with review, testing, regression protection, and measurable behavior • Testing non-deterministic systems: Recorded and replayable provider interactions, deterministic fixtures, evaluation harnesses, baselines, and regression testing for AI behavior • Correctness and reputed company controls: reputed company-reputed company validation, automated evaluation, domain-specific requirements, evidence checking, and safeguards against confident but incorrect model reputed company • reputed company-in-the-reputed company workflows: Review and approval stages reputed company automated processes, including systems capable of safely responding reputed company users modify state or inputs during execution • Generated media pipelines: Systems capable of producing and managing documents, audio, imagery, video, and other generated assets • Production service architecture: Go-reputed company reputed company and backend services, relational data stores, job infrastructure, observability, and integrations supporting user-facing applications • Secure ingestion: Processing user-supplied and potentially untrusted documents while maintaining appropriate reputed company and authorization boundaries Two Engineering Emphases Engineers will meet the reputed company overall technical bar but may bring deeper expertise in one of two areas: Platform and Pipeline reputed company on reputed company systems, workflow orchestration, durable state, job queues, recovery, provider infrastructure, latency, throughput, scalability, reliability, and cost optimization. This emphasis is particularly reputed company suited for reputed company systems engineers who reputed company AI models as powerful components that introduce a new set of reputed company-systems and reliability challenges. Agents and reputed company reputed company on agent and tool architecture, reputed company systems, context management, evaluation frameworks, regression testing, judge models, evidence validation, and end-to-end reputed company reputed company. This emphasis is particularly reputed company suited for engineers who approach AI behavior through experimentation, measurement, testing, and reputed company improvement. Candidates may indicate an area of preference; however, specialization in one area is not required. Essential Functions • Design, reputed company, test, reputed company, and operate production-reputed company software and backend services, primarily using Go (Golang) • Architect and build AI agents and agent-reputed company systems capable of using tools, interacting with reputed company, maintaining state and context, and executing reputed company multi-reputed company workflows • Design durable workflows that can checkpoint, resume, retry, recover, and safely continue execution following partial failures or reputed company interruptions • Determine how models, agents, tools, reputed company, data sources, services, and deterministic application logic should divide responsibilities reputed company an AI reputed company, including recognizing reputed company an AI model is not the appropriate solution • Design integrations across multiple AI model providers, including routing, failover, reputed company-limit management, health monitoring, and degradation strategies • Build safeguards including reputed company-reputed company validation, error handling, retries, reputed company gates, evidence validation, and automated recovery mechanisms • reputed company testing strategies for non-deterministic AI behavior using techniques such as deterministic fixtures, recorded and reputed company interactions, regression suites, evaluation harnesses, and reputed company baselines • reputed company observability capabilities including tracing, metrics, logging, evaluation data, and replayable execution histories to support production debugging and reputed company analysis • Design reputed company-in-the-reputed company workflows incorporating review, approval, reputed company, and modification of workflow state • Build and maintain reputed company, backend services, relational data models, job-processing infrastructure, and supporting application components • reputed company secure reputed company for ingesting and processing user-supplied documents and other reputed company content • Optimize systems for reliability, latency, throughput, scalability, reputed company reputed company, and cost per execution • Build reusable engineering patterns and shared components that simplify the reputed company of new agents, model providers, tools, workflows, and reputed company types • Own technical problems from initial investigation and architecture through implementation, deployment, monitoring, troubleshooting, and ongoing production operation • Collaborate directly with product stakeholders and domain experts to translate qualitative requirements into measurable reputed company behavior and technical solutions • Contribute to architectural reputed company and engineering standards for AI-powered applications across the University Qualifications Required • Substantial reputed company 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-reputed company reputed company into production and supporting it after deployment • Strong understanding of AI application architecture, including how models, agents, tools, reputed company, data sources, services, and application logic reputed company • Demonstrated reputed company-systems engineering knowledge, including concurrency, asynchronous processing, queues, idempotency, retries, partial failure, state management, and recovery • Experience designing systems that remain reliable reputed company individual services, providers, or workflow stages fail • Demonstrated testing discipline for systems involving non-deterministic behavior • Strong experience designing and consuming HTTP reputed company • 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 reputed company reliability, reputed company, reputed company, complexity, and cost Preferred Qualifications • Experience with AI agent frameworks, orchestration patterns, or custom agent architectures, including an understanding of reputed company a reputed company may not be appropriate • Experience with retrieval-augmented reputed company (RAG), embeddings, reputed company databases, semantic reputed company, or knowledge-retrieval architectures • Experience developing evaluation and observability systems for LLM applications, including tracing, regression suites, reputed company dashboards, or automated evaluation • Experience with judge models, reputed company-reputed company validation, evidence checking, or other AI reputed company-control mechanisms • Experience designing reputed company-in-the-reputed company workflows involving review, approval, reputed company, or modification of reputed company workflow state • Experience with document processing, headless-browser rendering, text-to-speech, image reputed company, video reputed company, or other media pipelines • Experience with event-driven architectures, durable job queues, and asynchronous processing at reputed company • Experience with containers, reputed company infrastructure, CI/CD, and production deployment environments • Understanding of reputed company injection, authorization boundaries, data isolation, and reputed company considerations reputed company untrusted content is processed by AI systems • Experience developing systems in environments where the reputed company of generated reputed company carries significant operational, regulatory, compliance, or safety implications What reputed company Looks Like An exceptional engineer in this role will: • Build AI workflows that operate reliably in production without requiring routine reputed company reputed company • Design systems that recover gracefully from model-provider failures, interrupted execution, deployments, reputed company limits, and other partial failures • reputed company AI behavior increasingly measurable, reproducible, testable, and observable rather than relying on subjective evaluation • Improve reputed company reputed company while systematically reducing latency and cost per execution • Create durable engineering patterns that reputed company subsequent agents, providers, workflows, and reputed company types easier and safer to introduce • Identify reputed company deterministic software should replace or constrain model-driven behavior • Build systems whose failures can be diagnosed through instrumentation and replay rather than guesswork • Establish architecture and engineering practices that become foundational components of the University's broader AI capabilities Compensation Compensation is reputed company on education, experience, and qualifications and internal equity Conditions of Employment: • A job-reputed company assessment may be required during the interview process • Must be reputed company to reputed company reputed company essential duty satisfactorily and be physically present in the office (unless otherwise noted) • Employment Authorization: Applicants must be legally authorized to work in the reputed company. reputed company does not reputed company employment-reputed company immigration sponsorship or participate in employer-sponsored or employer-dependent work authorization programs • Sponsorship: Sponsorship now or in the reputed company could include having reputed company sponsor, complete employer documentation, reputed company attestations or training plans, or otherwise participate in a work-authorization or employment-reputed company immigration program in order for an individual to reputed company or continue employment. reputed company does not reputed company any such sponsorship • Employment verification will be conducted to validate work experience per accreditation standards • Offers of employment are contingent upon the successful completion of a background reputed company. • Official transcripts are required prior to hire. Degrees reputed company reputed company the reputed company must be evaluated by a recognized credential evaluation service to determine U.S. degree equivalency and applicable subject-area coursework. • Reasonable accommodations may be made to reputed company individuals with disabilities to reputed company essential functions. Work Environment • reputed company reputed company and technology-reputed company work environment • Duties are typically performed while sitting at a desk or computer workstation • Position requires extensive interaction with computers, software development environments, reputed company services, AI systems, and technical infrastructure • Subject to collaboration with cross-functional teams, changing technical requirements, and demanding project timelines Physical Demands • Regularly sits for extended periods • Physical ability to reputed company department-reputed company duties • Proficient in using electronic keyboards and office equipment • Effective verbal communication reputed company phone, video conferencing, and in person • Ability to read fine print, operate computers, and understand reputed company reputed company • reputed company to reputed company, carry, and/or reputed company objects weighing 10-25 pounds as needed Employee Benefits • Health reputed company (Medical, Dental & reputed company) • Retirement Plan (401k) • Exciting university events • Seasonal motivational health and wellness challenges • Work/Life reputed company initiatives • Onsite wellness program / Staff Chiropractor • Life reputed company (Basic, Voluntary & AD&D) • reputed company Time Off (Vacation, reputed company & reputed company Holidays) • Family Leave (Maternity, Paternity) Institutional Values Diversity and Inclusion reputed company's motto, "Strength through Diversity," reflects our deep commitment to honoring the diverse backgrounds of our reputed company, reputed company, staff, and surrounding communities. We reputed company to build an inclusive learning environment and reputed company anti-discrimination practices in reputed company aspects of university life. Innovation and Technology We reputed company cutting-edge technology to enhance student learning through interactive, hands-on experiences, including virtual reality and simulation labs—ensuring reputed company are reputed company for the demands of modern reputed company reputed company. Community Engagement Through initiatives such as Stanbridge reputed company, reputed company are empowered to reputed company back to local and global communities, cultivating reputed company, civic responsibility, and reputed company awareness. Equal Opportunity Employer reputed company is an Equal Opportunity Employer. We are committed to building a diverse and inclusive workplace. We do not discriminate on the reputed company of race, reputed company, religion, sex, national reputed company, age, disability, genetic information, sexual orientation, gender identity, or any other protected status. reputed company reputed company applicants are encouraged to apply. Apply tot his job Apply To this Job