AI Developer
Tasks
- Build AI powered internal tools and analytics systems
- Build agent based workflows for actionable insights
- Build and maintain APIs and services for AI capabilities
- Collaborate with stakeholders to deliver business value
- Create data pipelines for dataset collection and transformation
- Design rag systems and llm powered features
- Develop machine learning platforms for large scale data
- Develop production ready Python applications with testing and monitoring
- Evaluate and select AI models frameworks and infrastructure
- Prototype, test, and deploy AI solutions
- Stay current with emerging AI technologies and improve systems
Perks/Benefits
- Accidental death and dismemberment coverage
- Company covered travel expenses
- Dental insurance
- Flexible paid time off
- Health insurance
- Life insurance
- Paid Holidays
- Paid parental leave
- Professional growth resources
- Remote work flexibility
- Technology support allowances
- Vision insurance
Skills/Tech-stack
AWS | Apache Spark | Asynchronous programming | Azure | ChromaDB | Docker | Embeddings | Error Handling | Faiss | FastAPI | Fine Tuning | Flask | GCP | Git | GitHub | Kubernetes | Langchain | Language Models | Large Language Models | Llamaindex | Machine Learning | Model Evaluation | Model Fine-tuning | Monitoring | Pandas | Pinecone | Prompt engineering | Python | Qdrant | RAG | REST APIs | SQL | Testing | Type Hints | Vector Databases
Education
N/A
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