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Salary
$40k – $44k per year (gross)
Location
In office (Singapore)
Experience
3+ years exp
Employment
Full-Time

First seen by Alion on Oct 29, 2026.

Overview
Company
Impact
Profile match
Avallis Financial offers independent financial planning, investment, estate, and corporate solutions in Singapore, focusing on long-term success for individuals and businesses.

Join Avallis Financial – Data, Digital and AI Services as a hands-on Engineerdelivering defined AI features and components from design through to productsupport

At Avallis Financial, you will work across software, data, AI, integration and operations,using approved AI tools to improve delivery while keeping human review,traceability and accountability at the centre of every outcome

Requirements:

In thisrole, you will get the chance to:

  • 3-5 years experience in business domain pertinent to financial advisory services and CRM
  • Passionate about building next generation  AI enabled products and data pipeline solutions for financial advisory and wealth management platforms
  • Design and implement machine learning systems from the groud up, with a focus on large language models (LLMs) and foundational models tailored to enterprise business needs
  • Build AI-powered full-stack solutions across software, data, AI, integration and user experience
  • Apply established patterns for security, privacy, Responsible AI, observability, recovery and operational resilience
  • Create reliable contracts across data, services, AI components, user journey and enterprise systems
  • Create clear code, automated tests, documentation, runbooks and release evidence
  • Enthusiastic, be able to contribute and learn from wider digital , data , AI engineering talent in the team.
  • Review designs and code, mentor engineers and identify material technical, delivery, data, model and operational risks early
  • Capable to create both technology blueprints and engineering roadmaps, for AI transformational journey.
  • Own versioning, compatibility, deployment, rollback, recovery, diagnostics and incident support

We are alsointerested in hearing from people who:

  • 5 Years of relevant software engineering experience
  • 3+ years of experience in designing and delivering machine learning frameworks (e.g, TensorFlow, PyTorch) and experience with LLMs and foundation models (e.g, GPT, Claude)
  • Strong Kotlin and Python programming and data manipulation skills, using relevant libraries and frameworks
  • Cloud-Native experience solid understanding of Azure services(Azure ML, Azure AI foundary, ADLS Gen2)
  • Experience with cloud AI Services, agent frameworks, embeddings, vector search and RAG
  • ML Ops skills expertise in CI/CD pipelines for ML, model versioning, monitoring, and conternisation (Docker, Kubernetes)
  • IT / Computer Science/ Mathematics & Statistics degree or other tertiary qualification related to development and / or development best practices.
  • Relevant Certifications (e.g Azure AI Cloud developer)
  • Are experienced with large-scale data sets, including data preparation and transformation at scale with SQL and distributed data processing
  • Your exceptional communication skills enable you to easily translate complex technical concepts for both business and technical audiences

WhyJoin Avallis Financial?

  • Supportive, approachable, and empowered leadership team.
  • Compact and resourceful team environment where outcomes achieved and recognised.
  • A chance to advance and develop your career within a Financial Services organisation.
  • Competitive salaries.
  • Awards and incentives.
  • Paid certifications.
  • Supportive and approachable management.
  • Fun, friendship, and family.

One of ourcore values at Avallis is “Harmony”: We are a team of diverseindividuals who value inclusivity and create meaningful connections so we canwin together.

At Avallis,we make hiring decisions based on your passion, skills, and experience.

Skills

Wealth Management, Collaborate With Engineers, Data Analysis, Analytical Skills, Security Procedures, Data Management, Documentation, Full Stack Development, SQL, Team Leadership, Python, Artificial Intelligence Application, Financial Data, Language Models, Financial Services, Data Contracts

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