Associate AI Engineer
About The Position
ShyftLabs is looking for an Associate AI Engineer (New Grad) to join our growing engineering team. This is an exciting opportunity for a recent graduate or early-career engineer who wants to work at the intersection of AI/ML and backend software development. In this role, you’ll help design and build AI-powered features that are integrated directly into real-world applications and data platforms. You’ll work closely with experienced engineers, product managers, and architects to develop scalable backend services, integrate AI tools and APIs, and contribute to production-ready systems used by enterprise clients. This is a hands-on engineering role with strong mentorship and learning opportunities, ideal for someone who enjoys both software development and applied AI technologies.
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, Data Science, AI, or a related field
- Internship, co-op, academic project, or personal project experience in software engineering, AI/ML, or backend development
- Proficiency in Python and familiarity with libraries or frameworks such as TensorFlow, PyTorch, or Scikit-learn
- Understanding of backend development concepts such as APIs, microservices, and databases
- Familiarity with JavaScript/TypeScript or Node.js is considered an asset
- Exposure to REST APIs, SQL, and cloud platforms such as AWS or GCP through coursework, internships, or projects
- Interest in AI/ML technologies, including LLMs and intelligent automation tools
- Strong problem-solving skills and willingness to learn new technologies quickly
- Good communication and collaboration skills in a team environment
- Understanding of software development fundamentals, including testing, version control, and Agile development practices
Nice To Haves
- Experience working on personal, academic, or hackathon projects involving AI or data platforms
- Familiarity with tools such as Docker, Git, Kafka, or cloud deployment workflows
- Exposure to data engineering, ETL pipelines, or analytics systems
- Interest in scalable distributed systems or event-driven architectures
- Contributions to open-source projects, technical clubs, or developer communities
Responsibilities
- Assist in building and integrating AI-powered features into backend applications and workflows
- Work with LLM APIs, machine learning models, and automation pipelines to support intelligent product experiences
- Develop and maintain backend APIs, microservices, and integrations using modern development frameworks
- Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions
- Support the development of scalable data pipelines and workflows for AI-enabled applications
- Participate in testing, debugging, monitoring, and improving production systems
- Contribute to technical documentation, API specifications, and architecture discussions
- Learn and apply best practices in software engineering, cloud development, and AI integration
- Participate in code reviews and collaborate with senior engineers to improve code quality and system reliability
- Stay current with emerging AI/ML technologies, tools, and engineering practices
Benefits
- Comprehensive Benefits: We cover 100% of health, dental, and vision insurance premiums for you and your dependents which means no out-of-pocket costs. Eligibility starts from day one itself.
- Growth & Learning: Access extensive learning and development resources to keep leveling up your skills.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
