Senior Software Engineer (Dallas)

We are at the forefront of transforming the future of technology in the financial industry, and we seek curious, practical individuals to help us pave the way. Our team is not intimidated by taking calculated risks, as they relish a good challenge and are eager to engage in problem-solving. As a member of our team, you will work alongside like-minded experts in a culture that is deeply rooted in innovation and progression. Join us to be part of a transformative journey that can shape the industry's future.

We are seeking a highly skilled and motivated Senior Software Engineer with deep expertise in .Net technologies, Artificial Intelligence (AI), AWS Bedrock, and Python to join our engineering team. The ideal candidate will play a key role in designing, developing, and deploying scalable AI-driven solutions using cloud-native technologies. You will collaborate closely with data scientists, product managers, and other engineers to build intelligent applications that deliver real business value.

Location : This opportunity provides a Hybrid work scheduled from our Dallas, Texas office or El Segundo, CA.

What you will do :

• Develop robust, scalable, and maintainable Python applications and APIs.
• Design and implement AI / ML solutions using AWS Bedrock and other AWS services.
• Integrate foundation models (e.g., Amazon Titan, Anthropic Claude, etc.) into enterprise workflows.
• Collaborate with cross-functional teams to define technical requirements and deliver high-quality software.
• Optimize performance and cost-efficiency of AI workloads in cloud environments.
• Ensure best practices in software engineering, including CI / CD, testing, and documentation.
• Mentor junior engineers and contribute to technical leadership within the team.

What you need to have :

Compensation

The salary range for this role is $122,000 - $157,000, plus competitive performance-based bonus. Compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years and depth of experience, certifications, and specific office location. Compensation ranges may differ in differing locations due to cost of labor considerations.