Senior AI Engineer

1 Month ago • 3 Years +

Job Summary

Job Description

As a Senior AI Engineer at ShyftLabs, you will be instrumental in developing and implementing AI-powered applications at scale. Your responsibilities include researching, designing, and developing AI solutions that address complex business challenges. You will implement and integrate AI models into production environments, collaborate with cross-functional teams, and optimize AI implementations for performance and cost efficiency. You will apply engineering best practices, stay current with the latest AI tools, and document technical processes.

Must have:

3+ years of experience building applications at scale.
Experience in implementing and deploying AI solutions.
Proficiency in Python, JavaScript, or Java.
Experience with modern AI frameworks and tools.
Knowledge of containerization technologies.

6 skills required

6 skills required for this role

Add these skills to join the top 1% applicants for this job

java

javascript

prototyping

python

design-patterns

cross-functional

Job Details

Position Overview:

We are expanding our Technology team and looking for an AI Engineer who can develop and implement AI-powered applications at scale. We seek a pragmatic problem solver with strong backend engineering skills, excellent technical abilities, and experience applying AI concepts and frameworks to build robust applications. You will design, develop, and optimize AI solutions that address complex business challenges for our clients.

ShyftLabs is a leading data and AI company, helping enterprises unlock value through AI-driven products and solutions. We specialize in data platforms and AI-powered automation, offering consulting, prototyping, and solution delivery to transform data into actionable insights.

Key Responsibilities:

Research, design, and develop AI-powered applications and solutions that address complex business challenges.
Implement and integrate AI models into scalable production environments.
Collaborate with cross-functional teams to deliver end-to-end AI solutions.
Optimize AI implementations for performance, reliability, and cost efficiency.
Apply engineering best practices to ensure AI systems meet quality standards and can scale.
Stay current with the latest AI tools and frameworks to propose innovative solutions.
Document technical processes and implementations to improve knowledge sharing.

Basic & Preferred Qualifications:

Bachelor's or Master's degree in Computer Science, Machine Learning, AI, or related field.
Strong software engineering background with 3+ years of experience building applications at scale.
Proven experience implementing and deploying AI solutions in production environments.
Proficient in programming languages such as Python, JavaScript, or Java.
Experience with modern AI frameworks and tools for building AI applications.
Solid understanding of software design patterns, API development, and system architecture.
Knowledge of containerization technologies and cloud platforms for AI development.
Strong problem-solving skills and ability to translate business requirements into technical solutions.

We are proud to offer a competitive salary alongside a comprehensive benefits package. We pride ourselves on the growth of our employees, offering extensive learning and development resources to help you advance your career.