Senior Software Engineer, Backend Development (REC)

Posted 12 Days Ago
Be an Early Applicant
Taipei City, TWN
In-Office
Senior level
Artificial Intelligence
The Role
Lead backend engineering for AI-powered product recommendation systems. Design AI agents, machine learning pipelines, scalable cloud-native architectures, ML execution frameworks, and CI/CD infrastructure. Own major engineering projects, provide technical leadership, mentor engineers, conduct code reviews, optimize performance, and improve observability, incident management, and production operations. Collaborate with data scientists and product managers to deliver high-throughput, low-latency personalization services.
Summary Generated by Built In

About Appier

Appier (TSE: 4180) is an AI-native Agentic AI as a Service (AaaS) company that empowers businesses to create value through cutting-edge AdTech and MarTech solutions. Founded in 2012 with the vision of “Making AI Easy by Making Software Intelligent,” Appier helps businesses turn AI into ROI through its Ad Cloud, Personalization Cloud, and Data Cloud—each powered by Agentic AI that enables autonomous, adaptive, and real-time decision-making. Today, Appier operates 17 offices across APAC, the US, and EMEA, and is listed on the Tokyo Stock Exchange. Learn more at www.appier.com.


About the Role

We’re on the lookout for an ambitious and technically outstanding Senior Software Engineer, Backend Development to join our Enterprise Solution Engineering Team, Product Recommendation (ES REC). Software engineers at Appier build a wide range of platforms and services that interconnect data and AI with our customers and users. In this role, you will be at the forefront of AI innovation, designing and building scalable backend architecture that delivers personalized experiences.

 

What You’ll Do

  • Key owner of sizable engineering projects and services within the ES REC team.
  • Architect and implement AI Agents and agentic workflows to automate decision-making processes and enhance recommendation delivery.
  • Build and optimize Machine Learning pipelines for large-scale personalization, ensuring efficient data processing, model serving, and low-latency response.
  • Design and operate scalable, cloud-native architectures leveraging managed services (e.g., GKE, BigQuery, or Pub/Sub) to support high-throughput recommendation workflows.
  • Architect and operate resilient ML job execution frameworks covering training, inference, and post-processing workflows to ensure system elasticity.
  • Define and implement CI/CD pipelines with tools like Jenkins or ArgoCD to enable seamless, automated, and reliable deployments.
  • Lead system designs and provide technical guidance to team members.
  • Mentor engineers in cross-team development processes.
  • Lead code reviews to ensure high quality coding standards.
  • Facilitate agile process collaborating with cross-functional teams, including Data Scientists and Product Managers.
  • Continuously improve the system's observability, incident management, DevOps and production operational SOPs.
  • Profiling and performance tuning of critical components to ensure high performance and scalability.
  • Participate in idea brainstorming and contribute ideas to technology, algorithms and products.

About you

[Minimum qualifications]

  • 5+ years of experience in software development.
  • Proficient in Python or Go.
  • Ability to build web services on Linux and good knowledge of Network API Design (REST/GraphQL).
  • Proactive, good interpersonal skills, and a strong interest in the MarTech (Marketing Technology) domain and customer-centric product development.
  • Open-minded towards using AI tools (e.g., Copilot) to improve coding efficiency.
  • Good understanding of SQL/NoSQL databases (MySQL, MongoDB, Redis, etc.).

[Preferred qualifications]

  • Hands-on experience with Infrastructure as Code (IaC) tools such as Terraform or Helm to manage cloud resources.
  • AI Agent Development: Experience in building applications related to LLMs, multi-agent systems, or RAG architectures.
  • Machine Learning Engineering: Understanding of the ML lifecycle—from training and prediction to evaluation and feedback loops.
  • Familiarity with LLM orchestration frameworks (e.g., Google ADK, LangChain, AutoGen) and Vector Databases.
  • Experience in designing and architecting large-scale distributed systems and data-intensive applications.
  • Experience with monitoring and alert systems (e.g., Prometheus, Grafana)

Why Join Appier?

At 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!


#LI-TC1

Skills Required

  • 5+ years of software development experience
  • Proficiency in Python or Go
  • Ability to build web services on Linux
  • Knowledge of REST or GraphQL network API design
  • Strong interpersonal skills and proactive working style
  • Interest in MarTech and customer-centric product development
  • Openness to using AI coding tools such as Copilot
  • Understanding of SQL and NoSQL databases, including MySQL, MongoDB, or Redis
  • Experience with Infrastructure as Code tools such as Terraform or Helm
  • Experience building LLM, multi-agent, or RAG applications
  • Understanding of the machine learning lifecycle, including training, prediction, evaluation, and feedback loops
  • Familiarity with LLM orchestration frameworks such as Google ADK, LangChain, or AutoGen
  • Familiarity with vector databases
  • Experience designing large-scale distributed systems and data-intensive applications
  • Experience with monitoring and alerting tools such as Prometheus or Grafana
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Taipei City
642 Employees
Year Founded: 2012

What We Do

Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information.

Similar Jobs

Mastercard Logo Mastercard

Consultant

Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Hybrid
Da'an District, Taipei City, TWN
38800 Employees

Graphcore Logo Graphcore

Support Engineer

Artificial Intelligence • Semiconductor
Remote or Hybrid
Taipei, TWN
903 Employees

Hewlett Packard Enterprise Logo Hewlett Packard Enterprise

Private Cloud AI Sales Specialist

Artificial Intelligence • Cloud • Information Technology • Consulting
Remote or Hybrid
Taipei, TWN
85422 Employees

Hewlett Packard Enterprise Logo Hewlett Packard Enterprise

Design Engineer

Artificial Intelligence • Cloud • Information Technology • Consulting
Remote or Hybrid
Taipei, TWN
85422 Employees

Similar Companies Hiring

Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees
Blee Thumbnail
Artificial Intelligence • Marketing Tech • Software
New York, New York
30 Employees
Vega Thumbnail
Artificial Intelligence • Automotive • Insurance • Transportation
US
43 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account