AI Software Engineer

Reposted 12 Days Ago
Be an Early Applicant
Makati City, Metro Manila, National Capital Region
In-Office
Junior
Information Technology • Consulting
The Role
Lead AI experiments and develop AI solutions. Collaborate with teams to implement technologies for banking operations and client advisory improvements.
Summary Generated by Built In
Company Description

Founded and headquartered in Switzerland, Avaloq is continuously expanding its global footprint with around 2,500 colleagues in 12 countries, and more than 170 clients in 35 countries. We are an industry-leading provider of wealth management technology and services for financial institutions around the world, including private banks and wealth managers, investment managers, as well as retail and neo banks. Our research led approach and continual innovation is powered by the passion and creativity of our colleagues.
We are always looking for talented people to join us on our mission to orchestrate the financial ecosystem and democratize access to wealth management. Avaloq offers the opportunity to work closely with some of the world’s leading financial institutions as we jointly develop and shape careers. Championing a collaborative, supportive and flexible work environment empowers our colleagues to reach their full potential.

Job Description

We are seeking a highly skilled, fast learner and well rounded, AI Software Engineer to join our AI innovation lab team. The ideal candidate will lead AI experiments and bring cutting-edge AI Agentic solutions from ideation to production.  

The mission of Avaloq’s AI Lab is to improve operational efficiency and client advisory capabilities through the application of state-of-the-art AI technology. We work collaboratively with industry leaders to deliver responsible and impactful solutions. Our team develops products tailored to the banking sector, supporting a broad range of users including banking operations, software engineers, knowledge services teams, and Relationship Managers. 

Your key tasks  

  • Lead AI experiments and develop solutions from ideation to production 
  • Collaborate with cross-functional teams to design and implement Agentic AI solutions  
  • Develop advanced prompts, multi-Agents architecture and tools 
  • Deploy and maintain LLM based solutions in production 
  • Optimize solutions for performance, cost, and scalability 
  • Stay up-to-date and evaluate the latest advancements in AI research and related regulations 

Qualifications

  • At least B.Sc. degree in Computer Science, Engineering, or a related field  
  • Strong background in data science, statistics, and experimental thinking   
  • Understanding of data structures, algorithms, and software design principles  
  • Effective communication and collaboration skills  
  • Excellent analytical, coding, and debugging skills in Python
  • At least 2 years of experience in Full-Stack Software Development (including university projects) 
  • At least 2 years of applied ML experience, with 1 year of experience with LLMs and Agents (including university projects)
  • Proven track-record of deploying and maintaining AI models in production  
  • ML frameworks such as TensorFlow, PyTorch, Scikit-learn or similar 
  • RAG pipelines with vector stores (e.g., Chroma, Qdrant) 
  • Agent frameworks (e.g., LangChain, Google ADK, CrewAI) 
  • Cloud AI services e.g. AWS (SageMaker, Bedrock), Azure (AI Studio), GCP (Vertex AI)    
  • LLM & Agent Ops - experiment tracking tools (e.g. MLFlow), observability tools, evaluation pipelines, prompt engineering and maintenance tools 
  • Familiarity with containerization technologies (e.g. Docker) and container orchestration systems (e.g. Kubernetes) 
  • Micro-services and REST APIs  

It would be a real bonus if you have  

  • Experience as a tech-lead with hands-on attitude   
  • Contributions to open-source AI projects   
  • Optimization and compute distribution for training and inference e.g. NVIDIA NIM, CUDA, DeepSpeed, Ray etc. 
  • Experience in developing core banking systems and/or wealth management solutions  
  • Knowledge of the latest advancements in AI ethics and responsible AI practices  
  • Front-end development experience  
  • TypeScript, Angular 
  • Java, SprintBoot, Kotlin 

Additional Information

We realize that managing work life balance is a challenge we all face in our daily lives and in order to support with this we are pleased to offer hybrid and flexible working for most of our Avaloqers to maintain work life balance and still continue our fantastic Avaloq culture in our global offices. 

In Avaloq we are proud to embrace diversity and understand the success of our business is built on the power of different opinions, we are whole heartedly committed to fostering an equal opportunity environment and inclusive culture where you can be your true authentic self. 

We hire, compensate and promote regardless of origin, age, gender identity, sexual orientation or any other fantastic traits that make us all unique, we have done our best to write this advert in an inclusive and neutral way. 

Please be aware that we will not accept speculative CV submissions for any of our roles from recruitment agencies, and any unsolicited candidate submissions will be exempt from any payment expectations.  

#LI-Hybrid

Top Skills

Angular
AWS
Azure
Chroma
Crewai
Docker
GCP
Google Adk
Java
Kotlin
Kubernetes
Langchain
Mlflow
Python
PyTorch
Qdrant
Scikit-Learn
Spring Boot
TensorFlow
Typescript
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The Company
Zurich
2,397 Employees
Year Founded: 1985

What We Do

Avaloq is a premium provider of front-to-back software and services for over 160 financial institutions around the world. Our clients include private banks, wealth managers and investment managers, as well as retail and neo banks. We develop software that can be deployed flexibly through cloud-based Software as a Service (SaaS) or on-premises, and we offer Banking Operations outsourcing through our Business Process as a Service (BPaaS) model. Avaloq is a subsidiary of NEC Corporation, a global leader in the integration of IT and network technologies.

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