Senior AI/ML Engineer - Agentic AI
Tasks
- Architect and lead multi agent systems
- Define evaluation strategy for agents
- Drive instrumentation and observability
- Integrate tools across product teams using MCP
- Manage offline and online evaluation harnesses
- Mentor engineers through code and architecture reviews
- Optimize inference cost and latency
- Own path from prototype to production
Perks/Benefits
- N/A
Skills/Tech-stack
API Design | AWQ | Agent systems | Arize | Asynchronous programming | Autogen | CI/CD | Context Management | CrewAI | GPTQ | Human-in-the-loop | INT4) | INT8 | Inference Optimization | LLM orchestration | Langchain | Langfuse | Langgraph | Langsmith | Language Models | Large Language Models | LoRA | MCP | Model Context Protocol | Modularity | Multi-Agent | Multi-Agent Systems | PEFT | Prompt engineering | PyTorch | Python | QLoRA | Quantization | Regression testing | Structured Output | System design | TensorRT-LLM | Testing | The Loop | Tool-Calling | VLLM
Education
Regions
Countries
States
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