AI Engineer, Generative AI Agents
Tasks
- Automate operational efficiencies with AI agents
- Build and maintain LLM powered services and APIs
- Build client facing voice and natural language data tools
- Collaborate with cross-functional teams to build AI solutions
- Design and develop intelligent AI agents
- Develop evaluation harnesses and eval pipelines
- Develop standardized integration tooling
- Enable self-service data access and analysis
- Implement and optimize context engineering
- Instrument logging tracing and metrics
- Integrate AI agents with internal systems and third party services
Perks/Benefits
Skills/Tech-stack
AWS | Agile | Amazon Bedrock | Context engineering | Cost Optimization | Databricks | Distributed tracing | FastAPI | Intent detection | Knowledge graphs | LLM serving | Langgraph | Language Models | Large Language Models | Latency optimization | Logging | Metrics | Observability | Python | Query decomposition | RAG | Retrieval-Augmented Generation | Snowflake | Throughput Optimization | Tokenization | Vector Databases | Webhooks
Education
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