Senior Fullstack IA Engineer

Softgic

Full Stack IA Engineer responsible for developing scalable AI solutions. Leading technical processes and mentoring engineers in AI and Full Stack technologies.

Posted 7/15/2026full-timeRemote • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates advanced proficiency in Python and strong experience with Java or Scala, alongside extensive expertise in designing and developing Artificial Intelligence solutions. Capable of building and deploying scalable AI solutions using cloud platforms such as AWS, GCP, or Microsoft Azure.

Highest-signal resume keywords

Python ProficiencyMachine Learning FrameworksCloud Platforms ExperienceArtificial Intelligence Solutions DevelopmentFull Stack Application Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningDeep LearningSoftware ArchitectureData StructuresAlgorithmsPredictive ModelingModel OptimizationData PreparationBackend DevelopmentFrontend Development

Soft Skills

Technical LeadershipMentoringEffective Communication

Tools & Technologies

TensorFlowPyTorchPandasScikit-learnAWSGCPMicrosoft Azure

Industry Keywords

AI SolutionsScalable Systems DesignCloud-Based Machine Learning ServicesAdvanced AnalyticsSoftware Development Best Practices

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformJavaPandasPythonPyTorchScalaScikit-LearnTensorflow

About the role

Key responsibilities & impact

Lead the design, development, and implementation of end-to-end, scalable AI solutions.
Build, train, and optimize Machine Learning and Deep Learning models.
Continuously improve model performance, accuracy, and operational cost efficiency.
Develop and integrate backend and frontend components for AI-powered applications.
Design scalable, secure, and high-performance software architectures.
Ensure code quality through testing, code reviews, and software development best practices.
Analyze large datasets to identify patterns and develop predictive models.
Implement data preparation, cleansing, and transformation pipelines.
Develop advanced analytics solutions to solve complex business challenges.
Build and deploy AI solutions using Machine Learning services on AWS, GCP, or Microsoft Azure.
Integrate AI models into scalable cloud infrastructures.
Optimize model deployment, monitoring, maintenance, and lifecycle management in production environments.
Provide technical leadership for strategic Artificial Intelligence initiatives.
Mentor and guide engineers across the team, promoting technical excellence and best practices.
Research emerging AI technologies, tools, and industry trends to drive continuous innovation.
Document system architectures, technical processes, and design decisions.
Communicate project progress, technical findings, and business impact effectively to both technical teams and business stakeholders.

Requirements

What you’ll need

10–12 years of professional experience as a Full Stack Engineer.
Advanced proficiency in Python.
Strong experience with Java or Scala.
Extensive experience designing and developing Artificial Intelligence solutions.
Hands-on expertise with Machine Learning frameworks, including: TensorFlow, PyTorch.
Experience using: pandas, scikit-learn.
Experience working with cloud platforms, including: Amazon Web Services (AWS), Google Cloud Platform (GCP), Microsoft Azure.
Knowledge of cloud-based Machine Learning services.
Proven experience building advanced predictive models.
Strong understanding of: Software architecture, Scalable systems design, Data structures, Algorithms.
Proven experience developing Full Stack applications.

Benefits

Comp & perks

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