Lead the design, development, and deployment of data and application integration solution built using Mulesoft for licensing financial systems and AI-powered applications
Own the full software development lifecycle, including analysis, design, coding, testing, debugging, and documentation
Collaborate with product, business, and data science teams to define system requirements and deliver intelligent automation and integration
Apply machine learning and AI techniques to optimize licensing workflows
Mentor junior or contracted engineers and foster a culture of innovation, inclusion, and technical excellence
Stay current with emerging technologies in integration, AI, financial systems, and cloud-native development to inform strategic decisions.

A minimum of 5 years of software engineering experience, including development of data and application integration for complex and large-scale systems
A minimum of 3 years of experience with integration software Mulesoft
Hands-on experience with API Gateways/API management (Google Apigee)
Excellent database skills in SQL and stored procedures and in optimizing large, complex SQL statements
Hands-on expertise in AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and data pipelines
Hands-on building and deploying LLM-based applications, including prompt engineering and fine-tuning
Experience with RAG (Retrieval Augmented Generation), vector databases, and embeddings
Excellent programming skills in languages Java and Python
Experience with cloud platforms (AWS, GCP, or Azure) and container orchestration (e.g., Kubernetes)
Agile development experience and familiarity with CI/CD pipelines
Excellent communication and stakeholder engagement skills.

A bonus and/or long-term incentive units may be provided as part of the compensation package
Full range of medical, financial, and/or other benefits dependent on the level and position offered

Senior Software Engineer

Key skills