AI Solutions Engineer
USD 115K-203K (estimate) Senior-level Full Time
Tasks
- Automate data ingestion workflows
- Build RAG pipelines
- Clean structure and preprocess data
- Create embeddings and retrieval pipelines
- Deploy AI solutions to development staging and production
- Deploy with containers
- Design enterprise AI solutions
- Develop AI APIs and backend services
- Develop agentic AI bots
- Ensure system reliability
- Integrate LLMs and prompt workflows
- Maintain internal documentation and knowledge sharing
- Manage vector databases
- Monitor AI performance
- Optimize model performance
- Optimize resource utilization
- Prepare datasets for AI use cases
- Reduce inference latency
- Support GPU inference environment setup
- Support cloud and on-prem deployments
- Support internal demos and technical validation
- Troubleshoot AI issues
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | Backend Development | Cloud Computing | Containerization | Data Preprocessing | Docker | Document parsing | Embeddings | GPU Computing | Git | Hybrid deployment | Inference Optimization | LLM | NoSQL | Performance Tuning | Prompt engineering | Python | RAG | Retrieval-Augmented Generation | SQL | Semantic Search | Vector Databases
Education
N/A
Roles
AI | AI Solutions | AI Solutions Engineer | Engineer | Solutions Engineer
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