{"id":69432,"url":"https://alion.io/job/appier-senior-software-engineer-ai-engineering","title":"Senior Software Engineer, AI Engineering","company":{"id":177717,"name":"Appier","domain":"appier.com","url":"https://alion.io/company/appier-2","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":87,"open_postings":54,"ghost_share":0.13,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":281,"computed_at":"2026-11-11T05:49:22Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Taipei, Taiwan"],"countries":["TW"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":51000,"max_usd":127000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1160},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Airflow","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"Argo Workflows","optional":false},{"name":"ArgoCD","optional":false},{"name":"AWS","optional":false},{"name":"ChatGPT","optional":false},{"name":"CI/CD","optional":false},{"name":"Copilot","optional":false},{"name":"Databricks","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"Go","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Google GKE","optional":false},{"name":"Grafana","optional":false},{"name":"Helm","optional":false},{"name":"Java","optional":false},{"name":"Jenkins","optional":false},{"name":"Kubeflow","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"NLP","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"Trino","optional":false}],"status":"live","first_seen_at":"2025-06-16T11:11:07Z","employer_posted_date":"2026-11-11","last_verified_at":"2026-11-11T22:42:22Z","board_verified":true,"closed_at":null,"days_open":513,"trust":{"level":"ok","repost_count":2,"flags":["company_stale"],"days_open":458},"description":"About Appier\nAppier is a leading SaaS company empowering businesses with cutting-edge artificial intelligence (AI) to drive smarter decision-making. Founded in 2012 with a mission to democratize AI, we transform complex data into actionable insights, making AI accessible and profitable. With 17 offices across APAC, Europe, and the U.S., and listed on the Tokyo Stock Exchange (Ticker: 4180), Appier is at the forefront of AI innovation. Visit www.appier.com for more information.\nAbout the Role\nWe’re on the lookout for an ambitious and technically outstanding Senior Software Engineer, AI Engineering to join our Enterprise Solution Engineering Team, AIXON. This elite team leverages state-of-the-art ML technologies to solve real-world marketing challenges by integrating omnichannel customer data at scale.\nIn this role, you’ll be the vital bridge between cutting-edge research and production-grade deployment. You’ll design, build, and optimize scalable, high-performance ML infrastructure-including data pipelines, APIs, monitoring systems, and workflow orchestration-that power transformative AI solutions.\nWhat You’ll Do\nArchitect and operate resilient ML job execution frameworks covering training, inference, and post-processing workflows.\nDevelop and maintain API services and developer tooling to orchestrate ML workflows on Kubernetes using Argo Workflows, Helm, Terraform.\nBuild scalable, efficient batch pipelines with Apache Spark to support large-scale ML training and evaluation.\nDesign and maintain robust data infrastructures using Trino, Databricks and other modern database technologies, monitored with Prometheus and Grafana for high availability and observability.\nDevelop tooling that streamlines ML experimentation, accelerates production workflows, and empowers cross-functional teams to innovate rapidly.\nCollaborate deeply with ML scientists to transform research prototypes into reliable, scalable, user-facing AI products.\nLead cloud infrastructure design and operations on GCP, leveraging managed services such as Google Compute Engine (GCE) , Google Kubernetes Engine (GKE) , Cloud Storage, Cloud Functions, Cloud Pub/Sub, Cloud SQL, BigQuery, and more.\nDefine and implement CI/CD pipelines with tools like Jenkins, Github Action, or ArgoCD to enable seamless, automated deployments.\nHarness distributed computing and parallel programming principles to optimize system resource utilization and performance.\nWhat You Bring\nBachelor’s degree in Computer Science, Engineering, or a related technical field (Master’s degree preferred).\n5+ years of hands-on experience in ML platform engineering, MLOps, or data infrastructure, deploying enterprise-grade machine learning systems at scale.\nExpert proficiency in Python, Java, or Go, with solid foundations in data structures and algorithm design.\nIn-depth experience with cloud environments (AWS or GCP) and cloud-native service management.\nProven mastery of Docker containers and Kubernetes cluster management, including resource provisioning, autoscaling, and deployment best practices.\nStrong understanding of the ML lifecycle-from training and prediction to evaluation, backtesting, and feedback loops.\nFamiliarity with Git workflows and Linux-based development environments.\nPassionate about continual learning and innovation, leveraging AI-powered developer tools like GitHub Copilot and ChatGPT to boost productivity.\nWhat Will Set You Apart\nExperience in the MarTech industry or other customer-centric domains, eager to deliver products that delight users and drive business impact.\nDemonstrated architectural leadership and ownership, skillfully driving complex, cross-team platform initiatives.\nStrong grasp of deep learning fundamentals and end-to-end ML workflow platforms such as Kubeflow, MLflow, or AWS SageMaker.\nHands-on experience with distributed data processing frameworks like Apache Spark, and pipeline orchestration tools such as Apache Airflow, Argo Workflow, or Luigi.\nExpertise in production-level ML applications, including handling data imbalance, preventing data leakage, and optimizing resource consumption for large-scale training and serving.\nFamiliarity with real-time online inference architectures and batch processing trade-offs.\nEnthusiastic adopter of “vibe coding” culture-collaborative, transparent, and always pushing technical excellence together.\nPrior experience building or developing applications related to large language models (LLM), multi-agent LLM systems, or natural language processing (NLP).\nWhy Join Appier?\nAt Appier, you’ll stand at the frontier of AI innovation, working alongside world-class engineers and researchers to create products that transform entire industries. Here, your engineering expertise will directly impact millions of users and drive revolutionary advances in marketing technology. If you’re ready to tackle challenging ML infrastructure problems with passion and creativity, Appier is your ultimate playground!","description_format":"text","description_chars":4968,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Machine Learning","Advertising","Marketing & Sales AI"],"lifecycle":[{"event":"open","at":"2025-06-16T11:11:07Z"},{"event":"close","at":"2026-09-03T17:17:02Z"},{"event":"reopen","at":"2026-09-11T04:15:56Z"},{"event":"close","at":"2026-09-18T12:21:06Z"},{"event":"reopen","at":"2026-11-11T11:57:47Z"}],"visa":[],"liveness":{"score":19,"band":"cold","label":"Long shot","p_open":1,"p_active":0.532,"p_room":0.36,"age_days":513,"expected_fill_days":281,"reasons":["conf:4","repost:2","win:tail","crowd:"],"computed_at":"2026-11-12T03:25:53Z"},"pay":null,"html_url":"https://alion.io/job/appier-senior-software-engineer-ai-engineering","json_url":"https://alion.io/job/appier-senior-software-engineer-ai-engineering.json","meta":{"generated_at":"2026-11-12T03:25:53Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":7537,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-13T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":177717},"rest":"https://alion.io/mcp/rest/get_company?id=177717"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fappier-senior-software-engineer-ai-engineering"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fappier-senior-software-engineer-ai-engineering"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fappier-senior-software-engineer-ai-engineering"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/appier-senior-software-engineer-ai-engineering\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fappier-senior-software-engineer-ai-engineering"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":69432}},{"tool":"search_jobs","arguments":{"company":"appier.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":69432},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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