{"id":1339387,"url":"https://alion.io/job/vurvey-labs-inc-ai-software-data-engineer","title":"AI Software/ Data Engineer","company":{"id":1762020,"name":"Vurvey Labs, Inc.","domain":"vurvey.com","url":"https://alion.io/company/vurvey","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Rippling","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Cincinnati, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":102000,"max_usd":195000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1089},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Embeddings","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitLab CI","optional":false},{"name":"Kubernetes","optional":false},{"name":"Node JS","optional":false},{"name":"PostgreSQL","optional":false},{"name":"RAG","optional":false},{"name":"SQL","optional":false},{"name":"TypeScript","optional":false},{"name":"JavaScript","optional":true}],"status":"live","first_seen_at":"2026-01-27T19:47:56Z","employer_posted_date":"2026-01-27","last_verified_at":"2026-10-13T16:35:55Z","board_verified":true,"closed_at":null,"days_open":258,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":258},"description":"About Vurvey Labs, Inc.\nVurvey Labs is an applied AI company developing models and platforms that remove the barriers for human collaboration. Our agents are powered by real people, generating diverse opinions, removing bias, and validating through real-world reflection.\nWe call this AI Powered by People™\n About the role\nWe are looking for a versatile AI Software Engineer to serve as the critical link between our strategic AI initiatives and our core production engineering team.\nIn this unique role, you will partner directly with our data team to architect and implement data pipelines and intelligent functions. However, you are not just building prototypes; you are a software engineer first. You will be responsible for operationalizing AI features, ensuring they meet the strict architectural, scalability, and CI/CD standards of our Engineering team.\nWhat you'll do\nBridge the Gap: Translate high-level AI strategies and model prototypes into robust, production-grade microservices and libraries.\nBuild Pipelines: Design and implement efficient data ingestion and processing pipelines (ETL/ELT) that feed our AI models.\nIntegrate Systems: Work intimately with our Backend team (Node.js/TypeScript) to expose AI capabilities via clean, well-documented APIs.\nInfrastructure & Ops: Deploy and manage AI workloads using cloud services; own the deployment and orchestration of your services.\nEngineering Excellence: Enforce strong software development principles-comprehensive testing, code reviews, and maintaining CI/CD pipelines.\nQualifications\nSoftware Engineering Foundation: 5+ years of professional experience in backend software development. You write clean, maintainable, and testable code.\nDevOps Mindset: Hands-on experience with Kubernetes, Docker, and Cloud Platforms (AWS/GCP/Azure). You know how to troubleshoot a crashing pod.\nCI/CD: Experience setting up and maintaining pipelines (GitHub Actions, GitLab CI, etc.).\nAI/ML Fluency: You understand the ecosystem. You know the difference between training and inference, you understand embeddings, and you can speak intelligently about LLMs and RAG architectures.\nAPI Design: Strong grasp of API design patterns.\nDatabase Skills: Proficiency in SQL (Postgres) and NoSQL environments.\nData Handling: Experience designing pipelines using tools like Apache Airflow, Kafka, or cloud-native serverless functions.\nFAQ- This position is not remote and is located in our Cincinnati, Ohio Headquarters. 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