AI Platform Engineer
Tasks
- Build LLM integrations
- Build investigation chat experiences
- Create data ingestion parsing enrichment pipelines
- Define engineering standards architecture patterns
- Deliver end to end full stack product features
- Design backend services and APIs
- Develop RAG and evidence summarization
- Implement human-in-the-loop workflows
- Implement production-grade agentic workflows
- Orchestrate distributed asynchronous workflows
Perks/Benefits
- N/A
Skills/Tech-stack
.NET | AWS | AWS CDK | Agentic Workflows | Air-gapped | Air-gapped environments | Asynchronous processing | Azure | C# | CI/CD | Content Classification | Data Enrichment | Data Ingestion | Data Parsing | Data Pipelines | Distributed Systems | Docker | Embeddings | Entity Extraction | GCP | Go | Graph Analysis | HNSW | HNSW Index | Human-in-the-loop | Inference Engines | Java | Kubernetes | LLM APIs | Llama.cpp | Observability | Offline environments | On-premise | On-premise environments | PostgreSQL | Python | RAG | REST APIs | React | Reliability | Routing | Scalability | System design | Task Orchestration | Temporal | Terraform | The Loop | Tool use | TypeScript | VLLM | Vector Databases | Vector Search
Education
N/A
Roles
AI | AI Platform Engineer | Backend | Backend Engineer | Engineer | Platform | Platform Engineer
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