AI Software Engineer

Job Title: AI Software EngineerLocation: Cambridge ON On-siteJob Type: Full-TimeCompensation: $130000 - $155000Benefits: RRSP health/dental/vision package reimbursement for tuition and professional dues paid vacation personal days and sick daysGet to Know Us:Eclipse Automation delivers cutting-edge custom automated manufacturing solutions across multiple industries. We combine advanced automation expertise with digital innovation to create smart efficient and sustainable manufacturing systems. Our global network includes facilities in Canada the United States and Hungary ensuring regional expertise and global Position:Eclipse Automation is advancing a multi-year digital transformation that connects AI engineering data simulation and enterprise systems to change how custom automation machines are designed built delivered and supported. We are building AI services and agents that give employees better access to institutional knowledge automate complex workflows and connect information across engineering and business need a AI Software Engineer who can turn architecture and technical plans into secure reliable production-ready solutions. Approximately 7080% of the role will focus on AI systems agents retrieval evaluation and model integration. The remaining work will apply full-stack development APIs data pipelines and enterprise integration to support those Youll Be Doing:Build AI Systems and AgentsImplement AI assistants agents retrieval-augmented generation systems intelligent search knowledge workflows automation services and reusable AI platform approved architecture requirements constraints and acceptance criteria into working software testable increments deployment plans and maintainable technical tool-using and multi-step agent workflows that safely interact with enterprise APIs databases files engineering systems and approved business model orchestration prompt and context management structured outputs memory retrieval embeddings reranking guardrails human review and failure-handling automated and human evaluation workflows for quality groundedness task completion safety latency reliability regression detection and business alternatives quickly measure results document findings and help the Principal AI Architect make evidence-based architecture and technology both locally hosted and approved cloud AI models and services while respecting security privacy performance capacity and cost Full-Stack Applications and ServicesBuild web applications and portals used by engineers project teams and leadership with a focus on interfaces that support AI-enabled responsive React and TypeScript frontends that make complex AI and engineering capabilities understandable and backend APIs services workers and integration components using Python and one or more /C# or secure authentication authorization validation error handling logging configuration and administrative capabilities required for production maintainable service boundaries and interfaces that can be reused across multiple AI use cases instead of creating isolated one-off Enterprise Data and Engineering SystemsBuild and consume REST SOAP GraphQL event and file-based interfaces that connect AI solutions to internal systems and approved external data pipelines and services that move transform contextualize index and synchronize information across CAD/PDM PLM ERP MES databases file stores and OpenUSD/Omniverse layers where with SQL databases including MySQL and PostgreSQL and with vector-search or hybrid-retrieval technologies used by AI production data and system stability while modernizing around long-lived applications schemas interfaces and operational data-quality identity permissions performance and integration issues across system boundaries and communicate risks Deploy and OperateWrite clean testable well-documented code with appropriate unit integration end-to-end load security and AI-evaluation Git-based workflows pull requests automated quality checks and CI/CD through Azure DevOps GitHub Actions or similar and deploy services to Azure OpenShift or other approved environments monitor production behaviour troubleshoot failures and improve reliability based on real applications and AI workflows with useful logs metrics traces evaluation results usage data and alerts while protecting sensitive deployment rollback recovery support and operational documentation so systems can be maintained beyond the initial constructively when testing disproves an assumption; pivot the implementation without defensiveness and preserve the learning in documentation and reusable and ExecuteWork primarily from the architecture priorities and technical direction established by the Principal AI Architect while taking ownership of implementation details and delivery forward technical alternatives and improvement ideas with evidence prototypes benchmarks or clearly explained constructively in design and code reviews incorporate feedback and commit to the agreed technical direction once a decision is AI coding tools such as Codex Claude Code Cursor or similar systems as part of the daily engineering workflow while maintaining human review security testing and with engineering applications IT cybersecurity operations and subject-matter experts to ensure solutions fit real workflows and production to architecture records standards reusable libraries playbooks and shared knowledge that make the broader team more effectiveWhat Were Looking For:Required Experience and CapabilitiesFive or more years building and supporting production enterprise applications services integrations or data experience implementing AI/LLM solutions such as agents retrieval-augmented generation embeddings vector search structured outputs tool use evaluation context engineering or model development experience with React and development experience with Python /C# or including production APIs background services authentication error handling and SQL skills including queries schema design migrations performance and safe work with production databases; MySQL and PostgreSQL experience are building and consuming REST SOAP or GraphQL APIs and integrating systems with different data models ownership boundaries and operational with Git pull requests automated testing CI/CD containers deployment monitoring and production and effective use of AI coding assistants in a professional development degree or college diploma in computer science software engineering engineering information technology or an equivalent combination of education and relevant ExperienceModel-serving or AI-platform infrastructure including local or cloud inference GPU-backed workloads embedding and reranking services model gateways or capacity and performance orchestration frameworks evaluation platforms vector databases PostgreSQL/pgvector hybrid retrieval knowledge graphs or enterprise Azure OpenShift Kubernetes container registries secrets management identity integration infrastructure automation and production industrial automation engineering data CAD/PDM PLM ERP MES NVIDIA Omniverse OpenUSD simulation or digital-twin privacy responsible AI prompt-injection defence access control auditability and safe integration of AI with enterprise tools and We Offer:Reimbursement for tuition and professional dues3 weeks of vacation and 3 paid personal days (to start)RRSP matching programFree snack programWhy Join Us:Here at Eclipse Automation creation and innovation are at our core and our culture reflects that. Fast-paced and continuously fostering growth we encourage the entrepreneurial spirit that our teams embody and leverage each of their strengths to do better for our people our clients and our teams are made up of innovators thinkers and doers with the know-how and expertise to exceed expectations and the relentless spirit to create and reinvent. Our people are what enable us to live up to our name - to eclipse all others inspiring and creating outcomes that change the Automation is committed to creating an accessible and inclusive work environment. It is our policy to recruit and select applicants solely on the basis of their qualifications. We are an equal opportunity employer that hires talent regardless of age race creed colour religion national origin ancestry marital status sexual orientation gender identity or expression disability or any other status or condition protected by applicable Eclipse Automation we believe in the power of human connection. We do not use AI in our hiring process; every application is personally reviewed by a member of our team to ensure each candidate receives careful publicly advertised job posting is for an existing vacancy. We are seeking a qualified candidate to join our team and assume the responsibilities of this Automation encourages applications from all qualified candidates. Those in need of accommodation at any stage of the recruitment process should Any information received that relates to accommodation needs of a candidate will be addressed in a confidential manner.