Artificial Intelligence Engineer
Il y a 2 heures
Kortrijk, Vlaanderen, Belgique
Vivid Resourcing
Temps plein
Gratuit avec email ou Google
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Gratuit avec email ou Google
As an AI Engineer, you'll be joining an exciting company in Kortrijk, building AI-powered solutions for the financial services sector.
Responsibilities Design, develop, and deploy
production-grade AI and machine learning models
for financial SaaS applications. Build
Generative AI and LLM-powered solutions
to automate financial workflows, document analysis, knowledge retrieval, and other business processes. Develop AI services and
data pipelines
that integrate seamlessly with cloud-based financial applications. Build and maintain
ETL/ELT pipelines, feature engineering workflows, and data models
supporting AI and analytics use cases. Implement
RAG pipelines, AI agents, and LLM-based applications
for financial and business use cases. Integrate AI models with APIs, databases, cloud platforms, and modern software architectures. Collaborate with software engineers, data engineers, product managers, and domain experts to take AI solutions
from prototype to production . Apply best practices around
MLOps, model evaluation, monitoring, scalability, security, and responsible AI , particularly in a finance-focused environment.
Your Profile 2–8 years of experience
in AI Engineering, Machine Learning Engineering, Data Science, Software Engineering, or a similar role. Strong
Python development
skills. Experience building, deploying, and maintaining
production-grade machine learning or AI solutions . Hands-on experience with
Generative AI, LLMs, NLP, RAG, AI agents, recommendation systems, or predictive modelling . Good understanding of
data engineering concepts , including ETL/ELT pipelines, APIs, data modelling, feature engineering, and cloud data platforms. Experience working with
financial, transactional, business, or other structured/unstructured data
is a strong advantage. Experience with
Azure, AWS, or GCP , ideally in production environments. Familiarity with technologies such as
Azure OpenAI, Databricks, LangChain, LangGraph, Hugging Face, PyTorch, TensorFlow, MLflow , or similar is an advantage. Understanding of
MLOps and CI/CD
for deploying and monitoring AI solutions is a plus. Strong problem-solving skills and the ability to translate business requirements into practical AI solutions. Excellent communication skills and a collaborative mindset. Fluent in
English .
The Offer Hybrid working
with an office presence in
Kontich . Opportunity to build
next-generation AI solutions for the financial services industry . Work with modern technologies including
LLMs, Azure OpenAI, Databricks, cloud-native AI services, and MLOps . Competitive salary of
up to €6,000 gross per month , depending on experience. Company car or mobility budget . 13+ ADV days . Continuous learning through technical training, certifications, and exposure to emerging AI technologies. Clear career progression toward
Senior AI Engineer, AI Architect, or Technical Lead
positions. A collaborative engineering culture where
innovation, technical ownership, and continuous improvement
are encouraged.
Interested? If you're excited about building
production AI solutions at the intersection of technology, finance, and SaaS , apply today or send your CV and a short cover letter to
ryan.martin@vividresourcing.com .
Responsibilities Design, develop, and deploy
production-grade AI and machine learning models
for financial SaaS applications. Build
Generative AI and LLM-powered solutions
to automate financial workflows, document analysis, knowledge retrieval, and other business processes. Develop AI services and
data pipelines
that integrate seamlessly with cloud-based financial applications. Build and maintain
ETL/ELT pipelines, feature engineering workflows, and data models
supporting AI and analytics use cases. Implement
RAG pipelines, AI agents, and LLM-based applications
for financial and business use cases. Integrate AI models with APIs, databases, cloud platforms, and modern software architectures. Collaborate with software engineers, data engineers, product managers, and domain experts to take AI solutions
from prototype to production . Apply best practices around
MLOps, model evaluation, monitoring, scalability, security, and responsible AI , particularly in a finance-focused environment.
Your Profile 2–8 years of experience
in AI Engineering, Machine Learning Engineering, Data Science, Software Engineering, or a similar role. Strong
Python development
skills. Experience building, deploying, and maintaining
production-grade machine learning or AI solutions . Hands-on experience with
Generative AI, LLMs, NLP, RAG, AI agents, recommendation systems, or predictive modelling . Good understanding of
data engineering concepts , including ETL/ELT pipelines, APIs, data modelling, feature engineering, and cloud data platforms. Experience working with
financial, transactional, business, or other structured/unstructured data
is a strong advantage. Experience with
Azure, AWS, or GCP , ideally in production environments. Familiarity with technologies such as
Azure OpenAI, Databricks, LangChain, LangGraph, Hugging Face, PyTorch, TensorFlow, MLflow , or similar is an advantage. Understanding of
MLOps and CI/CD
for deploying and monitoring AI solutions is a plus. Strong problem-solving skills and the ability to translate business requirements into practical AI solutions. Excellent communication skills and a collaborative mindset. Fluent in
English .
The Offer Hybrid working
with an office presence in
Kontich . Opportunity to build
next-generation AI solutions for the financial services industry . Work with modern technologies including
LLMs, Azure OpenAI, Databricks, cloud-native AI services, and MLOps . Competitive salary of
up to €6,000 gross per month , depending on experience. Company car or mobility budget . 13+ ADV days . Continuous learning through technical training, certifications, and exposure to emerging AI technologies. Clear career progression toward
Senior AI Engineer, AI Architect, or Technical Lead
positions. A collaborative engineering culture where
innovation, technical ownership, and continuous improvement
are encouraged.
Interested? If you're excited about building
production AI solutions at the intersection of technology, finance, and SaaS , apply today or send your CV and a short cover letter to
ryan.martin@vividresourcing.com .