AI Prompt Engineering Lead (Agentic AI & Hiring Automation) - Remote
Tasks
- Architect LLM systems
- Build multi-agent workflows
- Create RAG pipelines
- Define prompt versioning and reproducibility
- Design prompt infrastructure
- Develop evaluation frameworks
- Engineer guardrails and safety protocols
- Implement agentic workflow orchestration
- Integrate vector databases
- Optimize model routing
- Perform regression testing on prompts
Perks/Benefits
Skills/Tech-stack
Adversarial prompting | Chroma | Context compression | Cost Optimization | Fine Tuning | Function Calling | Human-in-the-loop | Jailbreak Prevention | LLM Observability | LLM-as-a-Judge | Langchain | Langgraph | Langsmith | Language Models | Large Language Models | LoRA | Model routing | OpenAI Function Calling | PEFT | Pinecone | Prompt engineering | PromptLayer | Query Expansion | RAG | Re-ranking | Retrieval-Augmented Generation | Semantic Re-ranking | The Loop | Token Cost | Token Cost Optimization | Vector Databases | Weaviate | Weights and Biases
Roles
AI | AI Engineer | Engineer | Engineering Lead | LLM Engineer | Lead | Learning Engineer | Machine Learning Engineer | Prompt Engineering Lead
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