AI Engineer
Tasks
- Build applied AI services and workflows
- Build evaluation suites and regression tests
- Collaborate on design reviews and documentation
- Create Retrieval Augmented Generation systems
- Deploy scalable APIs and microservices
- Design structured outputs and validation
- Develop agentic workflows with tool use
- Implement LLM powered automation
- Implement event-driven workflows
- Maintain guardrails and policy checks
- Set up observability and operational monitoring
Perks/Benefits
- N/A
Skills/Tech-stack
AI Observability | AI Search | API Development | AWS | AWS Bedrock | Agents SDK | Asynchronous processing | Azure AI | Azure AI Search | CI/CD | Citations | CloudWatch | Cost Optimization | Databases | Datadog | Debugging | Embeddings | Evaluation harnesses | Event Driven | Event-driven architecture | Function Calling | Guardrails | Hallucination mitigation | Hybrid search | Infrastructure as Code | Java | LLM | Langchain | Langgraph | Llamaindex | Microservices | Model Evaluation | Monitoring | N8n | OpenAI Agents | OpenAI Agents SDK | OpenSearch | OpenTelemetry | PGVector | PII handling | Pinecone | Prompt engineering | Prompt evaluation | Python | RAG | Redis | Reranking | Retrieval-Augmented Generation | Secrets management | Security | Semantic Kernel | Structured outputs | Testing | Tool-Calling | Tracing | Vector Databases | Vector Search | Weaviate | “as-code”
Education
Associate Degree | Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Backend | Backend Developer | Developer | Engineer | Software Engineer
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