Freelance Mechanical CAD and Simulation Engineer training AI agents in real CAD environments. Designing geometry, building reference solutions, and evaluating engineering outputs for a global platform.
About the role
- Senior AI Engineer designing and implementing AI-powered features at ShyftLabs. Collaborating with cross-functional teams to integrate intelligent capabilities into data-driven platforms.
Responsibilities
- Architect and implement AI-powered features end-to-end, from model integration and prompt engineering to deployment, monitoring, and iteration
- Integrate LLM APIs, ML models, and intelligent automation pipelines into scalable, production-grade backend systems
- Fine-tune and optimize models for performance, reliability, and cost efficiency in live environments
- Design and build robust APIs, event-driven services, and third-party integrations that support AI-enabled workflows
- Collaborate with Product to translate business requirements into technical AI solutions, defining scope, complexity, and dependencies
- Build and maintain data pipelines and MLOps workflows to support model deployment and lifecycle management
- Contribute to system architecture decisions, integration patterns, and reusable AI frameworks across the platform
- Partner with data scientists and engineers to ensure smooth, scalable model deployments
- Produce clear technical documentation, architecture diagrams, data flows, API specs, and AI integration patterns
- Lead code reviews, enforce best practices in code quality and testing, and mentor engineers across teams
- Troubleshoot complex production issues across distributed and AI-integrated systems
- Stay ahead of industry trends in AI/ML tooling, frameworks, and practices
Requirements
- 5+ years of experience building scalable, production-grade software systems
- 2+ years of hands-on AI/ML engineering experience, including deploying models into production environments
- Bachelor's degree in Computer Science, Data Science, AI, or a related field
- Strong expertise in Python, with hands-on experience using frameworks such as TensorFlow, PyTorch, or Scikit-learn
- Solid backend engineering background, API development, microservices, distributed systems, and event-driven architectures
- Experience integrating LLM APIs and building AI-driven features into web or platform applications
- Strong proficiency in JavaScript/TypeScript and Node.js, with exposure to GraphQL
- Deep experience building and consuming RESTful APIs and distributed services
- Proficiency with SQL and hands-on experience with cloud platforms, GCP or AWS (e.g., S3, Lambda, RDS, EC2)
- Familiarity with MLOps best practices and tools for model monitoring, versioning, and deployment
- Strong understanding of software design patterns, system architecture, and data flow design
- Excellent communication skills with the ability to articulate complex technical concepts clearly
- Experience working in Agile/Kanban environments with a strong grasp of the full SDLC.
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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