Back-End AI Engineer

We have an immediate need for skilled data scientists, AI engineers, and Python developers. Selected candidates will be expected to take a short online coding test; please do not apply if you are not willing to take it. Also, anyone using AI to automate their application process will be automatically disqualified. Candidates may use AI in selected interview situations.

Austin Artificial Intelligence (AAI) is a rapidly growing services firm that enables clients to solve real business problems with data engineering, data science, AI, machine learning, and customized professional services. Founded by executives with extensive expertise in quantitative analysis and consulting, AAI offers clients a unique hybrid approach to data science consulting by thoroughly understanding clients' business problems and deploying sophisticated, automated algorithms to solve them. Its partnership with The Silicon Partners, a 700-person consulting firm in Northern California, gives both firms a deep bench with which to serve any business at scale with tailored, end-to-end data-based solutions. AAI is venture-backed and serves clients in the financial, industrial, and technology industries.

We offer employees incredible benefits and flexibility in their working situations, including the choice between a fully remote or on-site workplace, an unlimited vacation policy, flexible working hours, health insurance plans, and discretionary bonuses.

Requirements:

• 2 years to 8 years exp in a professional software engineering, data science, quantitative analysis, or quant finance role

• Bachelor's degree (a Master's or PhD preferred) in computer science, engineering, mathematics, physics, or similar technical disciplines

• Experience with AI development practices including prompt engineering and agentic development, approval, deployment and testing workflows

• Strong knowledge of data structures, algorithms, and architectural patterns

• Extensive experience with commercial SQL and NoSQL databases (data engineering and optimization)

• Extensive experience with at least one leading cloud platform (AWS, Azure, Google Cloud, etc)

• Nice to have: experience with computer vision, NLP