Related skills
nlp python rag llm orchestration📋 Description
- Collaborate with domain experts to translate needs into LLM prompts.
- Develop, test, and refine prompts across use cases for accuracy and relevance.
- Troubleshoot prompt-related issues and bugs promptly.
- Design multi-step prompts with agentic patterns, tool calling, and RAG setups.
- Collaborate with developers to integrate LLM solutions into the product.
- Define metrics for LLM outputs: accuracy, relevance, safety, latency, cost.
🎯 Requirements
- Bachelor's degree in CS, Engineering, Math, or related field with 4+ years in AI/ML.
- Hands-on with LLM systems: RAG, embeddings, tool calling, and orchestration.
- Familiarity with OpenAI GPT models and Hugging Face.
- Experience evaluating LLM outputs and debugging hallucinations and edge cases.
- Proficiency in Python or other AI/ML languages.
- Strong problem-solving, attention to detail, and communication.
Meet JobCopilot: Your Personal AI Job Hunter
Automatically Apply to Engineering Jobs. Just set your
preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.
Help us maintain the quality of jobs posted on Empllo!
Is this position not a remote job?
Let us know!