Solutions Engineer – Backend Automation & AI
Tasks
- Automate pricing revenue and forecasting workflows
- Automate workflows using Python and Databricks
- Build secure services with error handling logging retries caching monitoring
- Collaborate with architecture and AI platform teams to align standards
- Deliver solutions through integration testing and stabilization
- Design build and deliver backend AI driven automation solutions
- Develop backend services and API integrations
- Implement middleware components and event driven workflows
- Integrate LLM APIs for summarization and data extraction
- Perform design reviews and code reviews
- Prototype AI enabled workflows and iterate with business feedback
Perks/Benefits
- N/A
Skills/Tech-stack
AIOps | APIs | Anaplan | Anthropic API | Azure OpenAI | CI/CD | Caching | Conga CLM | Databricks | Embeddings | Error Handling | Event Driven | Event-driven architecture | Hugging Face | Java | LLM | Langchain | Langgraph | Logging | MLOps | Microservices | Middleware | Model N | Monitoring | OpenAI API | Prompt engineering | PyTorch | Python | Retries | Salesforce | Salesforce CPQ | TensorFlow | Vector Search
Education
Roles
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