AI Engineer – Full Stack (Agentic / LLM)
A CAD 92K-140K (estimate) Senior-level Full Time
Tasks
- Build and orchestrate multi-agent systems
- Design and implement LLM-based systems
- Develop and deploy AI applications in production
- Document solutions and share knowledge
- Ensure code quality through reviews
- Implement RAG pipelines with vector search
- Optimize application and model performance
- Set up CI CD pipelines and cloud environments
Perks/Benefits
Skills/Tech-stack
AWS | Agent systems | Anthropic | Azure | CI/CD | Cloud platform | Data encryption | Docker | Embeddings | Faiss | Google Cloud | Google Cloud Platform | Google Gemini | JavaScript | Jenkins | Kubernetes | Language Models | Large Language Models | Microservices | MongoDB | Multi-Agent | Multi-Agent Systems | MySQL | OpenAI | Pinecone | PostgreSQL | Python | Retrieval-Augmented Generation | SQL | Serverless | Vector Search
Education
N/A
Roles
AI | AI Engineer | Developer | Engineer | Full Stack | Full Stack Developer
Regions
Countries
States
Cities
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