Technical Specialist - AI Engineering
Tasks
- Build AI features into internal tools
- Build APIs and microservices
- Build event-driven systems
- Contribute to AI roadmap
- Create APIs pipelines and services
- Define prompt engineering best practices
- Define safe deployment best practices
- Develop LLM-powered assistants
- Develop RAG systems and knowledge tools
- Drive experimentation and continuous improvement
- Ensure AI data handling standards
- Ensure AI governance and auditability
- Evaluate AI models tools and platforms
- Improve developer productivity with AI tools
- Participate in design discussions for AI features
- Recommend AI tool adoption
- Support teams with responsible AI training and documentation
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | Agentic Applications | Automation | CI/CD | Context engineering | Event Driven | Event-driven architecture | Go | Kubernetes | LLM APIs | Memory systems | Microservices | Node.js | Prompt engineering | Python | RAG Pipelines | Retrieval-Augmented Generation | SQL | Testing | TypeScript | Vector Databases | Version control | Workflow Engines
Education
N/A
Roles
AI | AI Developer | Developer | Engineer | Learning Engineer | Machine Learning Engineer | Software Engineer
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