AI Engineer
Tasks
- Build LLM-powered workflows
- Build agentic workflows with tool calling
- Collaborate with stakeholders to measure outcomes
- Create evaluation suites and regression tests
- Deploy scalable AI microservices
- Design prompt and model versioning
- Develop retrieval-augmented generation systems
- Implement applied AI features
- Provide AI observability and monitoring
- Set up CI CD pipelines and secrets management
Perks/Benefits
- N/A
Skills/Tech-stack
AI Search | API Development | AWS | AWS Bedrock | Agents SDK | Azure AI | Azure AI Search | CI/CD | CloudWatch | Databases | Datadog | Docker | Embeddings | Evaluation | Guardrails | Hallucination mitigation | Hybrid search | Infrastructure as Code | Java | Kubernetes | Langchain | Langgraph | Llamaindex | Microservices | Monitoring | N8n | OpenAI Agents | OpenAI Agents SDK | OpenSearch | OpenTelemetry | PGVector | PII handling | Pinecone | Prompt engineering | Python | RAG | Redis | Reranking | Semantic Kernel | Structured outputs | Tool use | Tracing | Vector Databases | Vector Search | Weaviate | “as-code”
Education
N/A
Roles
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