AI Engineer
Tasks
- Add guardrails policy checks and monitoring
- Build applied AI features for LLM powered automation
- Collaborate with cross-functional teams on AI use cases
- Create evaluation suites and regression tests
- Deploy AI services on AWS with CI CD and observability
- Develop retrieval-augmented generation pipelines
- Develop scalable APIs microservices and event workflows
- Implement agentic workflows with tool calling
Perks/Benefits
Skills/Tech-stack
AI Search | API Development | AWS | Agents SDK | Arize Phoenix | Asynchronous processing | Azure AI | Azure AI Search | CI/CD | CloudWatch | Databases | Datadog | Debugging | Docker | Embeddings | Evaluation | Guardrails | Hallucination mitigation | Hybrid search | Infrastructure as Code | Java | Langchain | Langgraph | Langsmith | Llamaindex | Microservices | Observability | OpenAI Agents | OpenAI Agents SDK | OpenSearch | OpenTelemetry | PGVector | PII handling | Pinecone | Prompt engineering | Python | RAG | Redis | Reranking | Retrieval-Augmented Generation | Testing | Vector Databases | Vector Search | Weaviate | “as-code”
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
Cities
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