A hybrid Data & ML role at ShyftLabs.
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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.
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Assist in building and integrating AI-powered features into backend applications and workflows
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Work with LLM APIs, machine learning models, and automation pipelines to support intelligent product experiences
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Develop and maintain backend APIs, microservices, and integrations using modern development frameworks
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Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions
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Support the development of scalable data pipelines and workflows for AI-enabled applications
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Participate in testing, debugging, monitoring, and improving production systems
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Contribute to technical documentation, API specifications, and architecture discussions
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Learn and apply best practices in software engineering, cloud development, and AI integration
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Participate in code reviews and collaborate with senior engineers to improve code quality and system reliability
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Stay current with emerging AI/ML technologies, tools, and engineering practices
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Bachelor’s degree in Computer Science, Software Engineering, Data Science, AI, or a related field
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Internship, co-op, academic project, or personal project experience in software engineering, AI/ML, or backend development
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Proficiency in Python and familiarity with libraries or frameworks such as TensorFlow, PyTorch, or Scikit-learn
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Understanding of backend development concepts such as APIs, microservices, and databases
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Familiarity with JavaScript/TypeScript or Node.js is considered an asset
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Exposure to REST APIs, SQL, and cloud platforms such as AWS or GCP through coursework, internships, or projects
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Interest in AI/ML technologies, including LLMs and intelligent automation tools
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Strong problem-solving skills and willingness to learn new technologies quickly
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Good communication and collaboration skills in a team environment
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Understanding of software development fundamentals, including testing, version control, and Agile development practices
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Experience working on personal, academic, or hackathon projects involving AI or data platforms
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Familiarity with tools such as Docker, Git, Kafka, or cloud deployment workflows
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Exposure to data engineering, ETL pipelines, or analytics systems
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Interest in scalable distributed systems or event-driven architectures
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Contributions to open-source projects, technical clubs, or developer communities…
ShyftLabs
Data & ML
26 open roles on Sydicom
ShyftLabs is a technology company that specializes in Web3 innovation and blockchain development. They operate as a venture builder, creating and launching decentralized applications and platforms in emerging technology sectors.
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