Senior Agentic AI Engineer
Tasks
- Apply RLHF
- Architect AI modules
- Architect cloud-native microservices
- Benchmark accuracy safety performance
- Build CI/CD pipelines
- Build embedding pipelines
- Contribute to shared utility libraries
- Create evaluation suites
- Define AI feature scope
- Design custom chunkers
- Develop LLM based evaluation harnesses
- Develop prompt engineering workflows
- Develop retrieval evaluators
- Implement fine tuning for LLMs
- Implement observability monitoring
- Integrate intelligent agent services with APIs
- Integrate with vector databases
- Lead sprint delivery
- Perform peer code reviews
Perks/Benefits
- N/A
Skills/Tech-stack
ANN | Agentic AI | Approximate Nearest Neighbor | CI/CD | Databricks | Datadog | Dspy | Fine Tuning | Hybrid search | LLM | LLM evals | Microservices | Model Evaluation | Nearest neighbor | Observability | Prompt engineering | Python | RAG Framework | REST APIs | RLHF | Retrieval-Augmented Generation | Vector Database
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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