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Digital and Cognitive Transformation.
Software Engineer – AI Systems
Location
United States
Posted
140 days ago
Salary
0
Seniority
Senior
Job Description
Software Engineer – AI Systems
Softgic
• Technical Leadership in Development: Your code is consistently high quality. Design and write code for complex features that are core to a project. • Defining Quality Strategies: Define the testing strategy for complex projects, including performance, load, and security testing. • Resolving Systemic Issues: Diagnose and resolve complex systemic problems in production, including those without an obvious cause. • Strategic Collaboration and Dependency Management: Collaborate closely with product management and other teams to break down complex problems into incremental tasks. • Project Architecture: Design the architecture for new, complex projects. Lead technical and architectural decisions within your team. • Security by Design: Implement robust security measures in the development and deployment of AI systems. • Delivery Leadership: Lead projects where requirements are ambiguous or changing, guiding the team through uncertainty to deliver value. • Economic Thinking and Optimization: Propose solutions that optimize the value and economic efficiency of development. • Mentorship and Strategic Communication: Actively mentor junior engineers. Represent your team in cross-team forums.
Job Requirements
- Advanced Technical Experience: Mastery of Python and deep experience in at least one other relevant language (e.g., JavaScript with modern frameworks, Java/Scala/Go).
- MLOps and Deployment Experience: Demonstrable experience designing, building, and deploying ML pipelines to production and practical knowledge of MLOps tools and practices.
- Distributed Systems Architecture: Proven ability to design scalable, resilient, high-performance architectures for complex systems, both full-stack and AI, and experience with microservices.
- Cloud Platform Expertise: Advanced experience with cloud platforms (AWS, Google Cloud, Azure) and their AI/ML services and infrastructure tools.
- Superior Analytical Skills and AI Problem Solving: Expert ability to analyze large datasets, develop and optimize advanced predictive models, and solve complex AI-specific challenges.
- Leadership and Mentorship: Proven experience leading technical projects, guiding teams, and mentoring other engineers.
- Communication and Presentation Skills: Excellent verbal and written communication skills, with the ability to present complex technical results and design discussions to technical and non-technical audiences.
- Security Experience: Strong understanding of best practices for security in software development and AI systems.
- Spanish and English Communication: Ability to communicate effectively in both Spanish and English.
Benefits
- Health insurance
- Professional development
- Flexible work arrangements
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