Senior AI Engineer at Backbase

Ho Chi Minh City, Ho Chi Minh City, Vietnam

Backbase Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Banking, FintechIndustries

Requirements

  • 6+ years in AI/ML or applied data science, with 2–3+ years building production-grade systems
  • Strong proficiency in Python and frameworks such as PyTorch, TensorFlow, and HuggingFace
  • Practical experience with LLM applications: prompt engineering, embedding pipelines, RAG workflows
  • Familiarity with vector databases (e.g., FAISS, Weaviate, Chroma, Milvus)
  • Hands-on with LangChain, LangGraph, and Langfuse for agent orchestration and observability
  • Experience working in Databricks

Responsibilities

  • Design and implement AI solutions across a range of banking use cases: onboarding intelligence, fraud detection, conversational banking, smart servicing, and document intelligence
  • Build secure, scalable systems leveraging LLMs, embedding models, RAG pipelines, and agentic workflows
  • Support client-facing engagements by contributing to solution designs that integrate with both Backbase and heterogeneous technology stacks
  • Collaborate with product, engineering, and consulting teams to deliver enterprise-grade AI systems
  • Building secure and scalable LLM-based systems using LangChain, LangGraph, and Databricks
  • Support MLOps/LLMOps practices, including CI/CD for models, prompt versioning, monitoring (e.g., Langfuse), and retraining workflows
  • Work as part of a multidisciplinary team of AI/ML Engineers and Data Engineers with a focus on delivery quality and performance
  • Stay up to date with trends like small/tuned domain-specific models, agent-based orchestration, LLM observability frameworks (e.g., Langfuse), and responsible AI governance
  • Contribute to client workshops, technical documentation, and internal capability development

Skills

Machine Learning
Generative AI
LLMs
RAG pipelines
LangChain
embedding models
agentic workflows
fraud detection
document intelligence
Python

Backbase

Engagement banking platform for digital transformation

About Backbase

Backbase offers an Engagement Banking Platform that helps banks modernize their customer interactions and internal operations by replacing outdated IT systems. The platform allows banks to enhance customer journeys and eliminate operational silos, empowering both customers and employees. Backbase stands out by providing out-of-the-box web and mobile solutions, along with Model Bank accelerators that simplify digital transformation. The company generates revenue through platform usage fees, comprehensive documentation, and training, while also enabling banks to create unique features with their open APIs and SDK.

Amsterdam, NetherlandsHeadquarters
2003Year Founded
$128.4MTotal Funding
GROWTH_EQUITY_VCCompany Stage
FintechIndustries
1,001-5,000Employees

Benefits

Hybrid Work Options

Risks

Emerging regulations like the EU AI Act may increase compliance costs for Backbase.
Competition from other fintech companies could erode Backbase's market share.
Integration challenges with TD Bank may arise if customer expectations are not met.

Differentiation

Backbase's platform offers seamless integration with any back-end system for banks.
The company provides out-of-the-box web and mobile journeys for digital transformation.
Backbase's Model Bank accelerators embody industry best practices for rapid implementation.

Upsides

Partnership with TD Bank enhances digital experiences for over two million cardholders.
Collaboration with Seven expands Backbase's influence in Africa and the Middle East.
Increased AI adoption in banking offers Backbase opportunities to enhance platform capabilities.

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