Join a high-growth financial technology organization focused on delivering modern digital banking and software solutions to financial institutions and enterprise clients. This team is investing heavily in AI-driven innovation to improve operational efficiency, accelerate software delivery, and streamline implementation processes across a large-scale delivery organization.
This is an opportunity to work on highly visible initiatives focused on automation, workflow optimization, and practical AI applications that directly impact customer delivery and operational performance.
Position Summary
We are seeking a Machine Learning Engineer to help design, implement, and scale AI-enabled solutions that improve software delivery workflows, automate operational processes, and enhance implementation efficiency. This individual will partner closely with engineering, implementation, product, and delivery teams to identify process bottlenecks and build practical AI-driven solutions that improve execution and scalability.
This is a hands-on engineering role focused on production systems, workflow automation, and AI implementation rather than purely research-oriented machine learning work.
Responsibilities
Design and develop AI/ML-enabled applications and workflow automation solutions
Build scalable machine learning pipelines and production-ready systems
Collaborate cross-functionally with engineering, implementation, product, and delivery teams
Identify operational inefficiencies and develop automation solutions to improve processes and delivery cycles
Integrate AI and machine learning solutions into production environments
Support experimentation, evaluation, testing, and continuous improvement of AI systems
Stay current with emerging AI, LLM, and machine learning technologies
Required Experience / Ideal Background
5–8 years of relevant software engineering and/or machine learning experience
Strong Python engineering background
Experience working with AI/LLM technologies and frameworks such as OpenAI, Claude, PyTorch, TensorFlow, LangChain, or similar tools
Experience building and deploying production-grade applications, automation systems, or ML solutions
Familiarity with cloud platforms and scalable infrastructure environments
Experience within SaaS, enterprise software, fintech, or implementation-heavy technology organizations preferred
Strong problem-solving, communication, and collaboration skills
Experience working cross-functionally with technical and operational teams
Additional Information
Hybrid opportunity located in Austin, TX
Applicants must be authorized to work in the U.S. without sponsorship
Competitive compensation, benefits, flexible time off, and career development opportunities