AI Engineer Senior
USD 159K-188K (estimate) Senior-level Full Time
Tasks
- Architect RAG pipelines
- Build monitoring observability and alerting
- Build tool calling frameworks
- Collaborate with data science teams on model evaluation
- Conduct threat modeling for AI systems
- Design Agentic AI systems
- Design database schemas for AI workloads
- Design maintainable architectures
- Design scalable backend systems for AI workloads
- Establish coding standards
- Evaluate Gen AI system quality and safety
- Implement agent memory systems
- Implement audit trails and explainability
- Implement caching and batching
- Implement comprehensive testing strategies
- Implement error handling and retry logic
- Implement logging and telemetry
- Implement multi-agent architectures
- Implement safety guardrails for agents
- Integrate LLM providers
- Lead architectural reviews
- Lead technical requirements gathering
- Mitigate hallucinations and bias
- Optimize LLM performance
- Orchestrate agent workflows
- Participate in hiring and technical interviewing
- Perform prompt engineering
- Present technical solutions to leadership
- Support AI vendor technical relationships
Perks/Benefits
- 401k match
- Fertility and family building aids
- Health insurance
- Life and disability insurance
- Paid Holidays
- Paid leave
- Paid time off (PTO)
- Retirement savings plan
- Wellness program
Skills/Tech-stack
AWS | Agentic AI | Asynchronous programming | Azure | Batching | CI/CD | Caching | Concurrent programming | Database Design | Distributed tracing | Docker | Evaluation Frameworks | Experiment tracking | Fine Tuning | GCP | Generative AI | Git | Kubernetes | Language Models | Large Language Models | Logging | MLOps | Metrics | Model versioning | NoSQL | Observability | Performance optimization | Prompt engineering | Python | Quantization | RAG | RESTful APIs | SQL | Security | Semantic Search | Software Architecture | System design | Testing | Threat modeling | Tracing | TypeScript | Vector Databases
Education
N/A
Roles
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