What You will do (Responsibilities) :

• Build, test, and deploy AI agents across Finance, Credit, Procurement, and Operations.
• Convert business workflows into production-grade models and automated pipelines.
• Integrate LLMs with internal systems and data sources.
• Work with Product and Engineering to deliver measurable efficiency gains, accuracy improvements, and adoption.
• Maintain model quality, observability, and versioning.
• Ensure compliance with PDPL and internal security standards.

Who You are (Qualifications) : 

* Strong Python
* Experience with LLMs and vector stores
* Experience with model evaluation, fine-tuning, and prompt engineering
* Building and deploying AI services on cloud platforms
* Strong data skills
* Knowledge of workflow automation
* API design and integration
* Understanding of security, PDPL, and responsible AI handling
* Python, FastAPI, LangChain, Vertex AI or OpenAI APIs, Pinecone or equivalent vector DB, PostgreSQL, GitHub, Docker, Terraform, n8n or similar workflow tools, basic GCP or AWS services for deployment and monitoring

What we offer:

• Great opportunity to be part of a start-up with a lot of responsibility and independence early on and where you will have an impact on the entire business
• Attractive compensation package
• Access to tools helping with your learning and development
• Product first mindset
• The best idea wins; we are all ears when it comes to ways to do things better
• Exciting stock options 

What You will do (Responsibilities) :

• Lead end-to-end ML development across BRKZ. Build and deploy production models, LLM agents, and data-driven workflows that improve accuracy and cut manual work across Finance, Credit, Procurement, and Operations.
• Scope problems with Product and Ops, size impact, and turn workflows into measurable gains.
• Cover full-stack ML engineering and applied data science: data analysis, feature engineering, modelling, evaluation, and monitoring.
• Own model lifecycle, reliability, and PDPL compliance. 
• Guide standards for data quality and ML practices. Mentor ML and AI engineers.

Who You are (Qualifications) : 

* Expert Python and ML engineering.

* 5 to 8 years in ML engineering or applied AI with delivery in production environments
* Strong with LLMs, embeddings, RAG, and classical ML models.
* Skilled in data analysis, feature engineering, and evaluation.
* Experience building and scaling pipelines.
* Strong cloud deployment background.
* Able to quantify business impact and guide decisions.
* Strong communication and mentoring ability.
* Python, FastAPI, LangChain, Vertex AI or OpenAI APIs, TensorFlow or PyTorch, Scikit-learn, Pinecone or equivalent vector DB, Airflow or Prefect, GitHub, Docker, Terraform, PostgreSQL, BigQuery, n8n or similar workflow tools.

What we offer:

• Great opportunity to be part of a start-up with a lot of responsibility and independence early on and where you will have an impact on the entire business
• Attractive compensation package
• Access to tools helping with your learning and development
• Product first mindset
• The best idea wins; we are all ears when it comes to ways to do things better
• Exciting stock options