Softgic

Digital and Cognitive Transformation.

Software Engineer – AI Systems

Full-stack EngineerSoftware EngineerFull TimeRemoteTeam 51-200Since 2011H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

47 days ago

Salary

Not specified

Bachelor DegreeSpanishEnglishAWSAzureCloudJavaJava ScriptPythonScalaGo

Job Description

• 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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