AI Developer
Tasks
- Build AI-powered internal tools
- Build and maintain AI service APIs
- Build data pipelines
- Collaborate with stakeholders to deliver value
- Create agent based LLM workflows
- Design and implement RAG systems
- Develop AI and machine learning platforms
- Develop production ready Python applications
- Evaluate/select AI models
- Integrate AI capabilities into business workflows
- Prototype, test, and deploy AI solutions
- Stay current with emerging AI technologies
Perks/Benefits
- Accidental death and dismemberment coverage
- Dental insurance
- Flexible paid time off
- Health insurance
- Life insurance
- Paid Holidays
- Paid parental leave
- Paid travel expenses
- Professional growth support
- Remote work flexibility
- Vision insurance
Skills/Tech-stack
AWS | Apache Spark | Asynchronous programming | Azure | ChromaDB | Code review | Docker | Error Handling | Faiss | FastAPI | Fine Tuning | Flask | GCP | Git | GitHub | Kubernetes | LLM | Langchain | Llamaindex | Machine Learning | Model Evaluation | Monitoring | Pandas | Pinecone | Prompt engineering | Python | Qdrant | REST APIs | Retrieval-Augmented Generation | SQL | Testing | Type Hints | Vector Databases
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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