Back-End AI Engineer

Austin Llp
United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Amazon Web Services Architectural Patterns Computer Vision Microsoft Azure Information Engineering Data Structures NoSQL Software Engineering SQL Databases Google Cloud Cloud Platform System
+3 more
Prompt Engineering Backend Information Technology

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

About the company

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.

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:37 min

Comparing traditional SQL tables versus NoSQL non-tabular databases

Stanimira Vlaeva · JS Congress

1:52 min

Structuring and scaling the backend engineering team

Stefan Lingler Stefan Lingler +1 · Coffee With Developers

6:10 min

Unlocking free learning credits via Google Cloud Innovators

Asrar Asrar · World Congress 2024

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

3:16 min

Terminology differences between relational and NoSQL databases

Tim Faulkes · LIVE

2:14 min

Exploring internal AI product initiatives and global engineering roles

Maria Apazoglou · Coffee With Developers

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