Senior AI Engineer
Tasks
- Build and deploy AI solutions
- Build platform agnostic AI services
- Create proofs of concept and production components
- Define AI evaluation methods
- Design Agentic AI systems
- Develop RAG pipelines
- Drive engineering excellence with CI CD and testing
- Engineer agent evaluation harnesses
- Ensure healthcare privacy security and compliance
- Implement Knowledge Graphs
- Integrate LLMs and embeddings
- Optimize token usage and inference cost
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | API Design | Access Control | Access Controls | Agent Orchestration | Agent memory | Amazon Neptune | Audit Logging | Automated testing | B testing | By Design | CI/CD | Chunking | Cloud Native | Cloud Native Architecture | Containers | Context engineering | Cost Optimization | DICOM | DICOMweb | Data Governance | Deep learning | DeepEval | Distillation | Distributed Systems | Document Understanding | Driven systems | Embeddings | Event Driven | Event Driven Systems | FHIR | FHIR resources | Fine Tuning | Function Calling | Graph Databases | GraphRAG | Guardrails | HL7 | Hallucination mitigation | Healthcare Compliance | Hybrid search | Java | KV cache | Knowledge graphs | Kubernetes | LLM-as-judge | Langfuse | Langsmith | Language Models | Language Processing | Large Language Models | Machine Learning | Medical Imaging | Microservices | Model Context Protocol | Model Evaluation | Model Serving | Model Serving APIs | Model routing | Monitoring | Multimodal AI | Natural Language | Natural Language Processing | Neo4j | Observability | OpenTelemetry | Parameter-efficient Tuning | Privacy by Design | Prompt Caching | Prompt engineering | Promptfoo | Python | Quantization | Ragas | Reranking | Retrieval-Augmented Generation | Role-Based Access | Role-Based Access Control | Serverless | Token Accounting | TypeScript | Vector Databases | Vision Language Models | Vision-language
Education
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