Overview
TYPE: 9 month contract
HYBRID: 3 days per week onsite
SKILLS: AI platform development, full stack development, LLMs, RAG, AI agents, Python, SQL, React or Angular, Flask, data integration, vector databases, automated testing, CICD, cloud services, Docker, Kubernetes, collaboration, problem solving, stakeholder communication
INDUSTRY: Financial Services
DESCRIPTION
- Contribute to the design development and maintenance of enterprise AI platforms that support an AI augmented workforce
• Partner with AI engineers data scientists and internal business teams to understand requirements and deliver scalable high quality technical solutions
• Build efficient reliable and maintainable software used across the organization
• Integrate data from APIs relational databases and vector databases
• Develop full stack solutions including web front end components back end APIs and databases
• Ensure product quality through testing and manage deployment across multiple environments
• Work with various AI models including large language models to support predictive analysis and statistical modelling
• Conduct independent research to explore solutions to programming challenges and platform needs
• Maintain monitor and enhance the data science ecosystem including pipelines model development and business applications
REQUIREMENTS
- Bachelor or Master degree in computer science engineering mathematics statistics or a related quantitative field
• Minimum of 2 years of experience in business oriented analytics or software engineering
• Strong passion for problem solving and supporting data driven decision making
• Self motivated with the ability to perform independent research
• Strong communication skills with the ability to collaborate with both technology and investment focused teams
• Strong programming skills in Python and SQL
• Hands on experience with large language models including building AI agents and retrieval augmented generation and working directly with machine learning models
• Full stack programming experience with React or Angular and Python Flask
• Experience with automated testing and quality assurance practices
• Familiarity with CICD practices for data or software engineering projects
• Knowledge of cloud platforms such as Azure AWS or GCP
• Experience with containerization and orchestration tools such as Docker and Kubernetes
• Strong desire to work in a collaborative team based environment
Assets
- Experience supporting AI development within complex business environments
• Exposure to advanced data engineering tools or modern AI model ops workflows
• Familiarity with vector database systems or enterprise AI integration patterns
• Experience working with cross functional teams including product UX and data science