AI/ML Engineer: Agentic Workflows
Tasks
- Build multi-step agentic workflows
- Build reliable tool calling interfaces
- Create structured output pipelines
- Deploy human in the loop state automations
- Design and build foundational AI layers
- Develop internal SDKs and developer tooling
- Enforce deterministic structured outputs
- Ensure idempotent agent execution
- Implement prompt frameworks
- Implement state management and automation consistency
- Ingest data from messaging and log sources
- Integrate memory architectures
- Manage concurrency and prevent database deadlocks
- Optimize prompts and manage prompt caching
- Orchestrate multi-agent systems
Perks/Benefits
Skills/Tech-stack
.NET | AI SDK | AWS Step Functions | Amazon Bedrock | Amazon MSK | Amazon MemoryDB | Amazon SQS | Async Programming | C Sharp | CICD | Concurrency Control | Csharp | Function Calling | Human-in-the-loop | Idempotency | Java | Kafka | LLM orchestration | Langgraph | Language Models | Large Language Models | Llamaindex | NET Core | Node.js | Optimistic Concurrency Control | PostgreSQL | Prompt engineering | Pydantic | Python | Redis | State management | Step Functions | Structured Output | The Loop | Tool-Calling | TypeScript | Valkey | Vercel AI SDK | Vercel AI) | Zod
Education
N/A
Regions
Countries
States
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