AI Engineer
Tasks
- Build RAG pipelines
- Build and integrate REST APIs
- Create embedding workflows
- Deploy and optimize AI solutions
- Design and develop web applications
- Design develop and maintain AI driven applications
- Develop and integrate vector database solutions
- Develop microservices
- Fine-tune and evaluate LLM models
- Implement event-driven components
- Implement prompt engineering pipelines
- Integrate LLM-based solutions
- Orchestrate AI workflows
Perks/Benefits
- Accredited courses
- Disability insurance
- Donation matching
- Employee assistance program
- Employee recognition program
- Hybrid working
- Life insurance
- Medical insurance
- Online learning
- Paid time off
- Paid time off for bereavement leave
- Paid time off for sick leave
- Retirement plan
- Unlimited vacation
- Volunteering time off
Skills/Tech-stack
AWS | Angular | Azure | Azure OpenAI | ChromaDB | Docker | Embeddings | Event Driven | Event-driven architecture | FastAPI | Flask | Generative AI | Google Cloud | Hugging Face | JavaScript | Kubernetes | LLM | Langchain | Llamaindex | Microservices | Milvus | Next.js | OpenAI | Pinecone | Prompt engineering | Python | RAG | REST API | React | Retrieval-Augmented Generation | TypeScript | Vector Databases | Vue.js | Weaviate
Education
N/A
Roles
AI | AI Engineer | Engineer | Full Stack | Full Stack Engineer | Generative AI Engineer
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