Prompt Engineer

BayOne Solutions - Mountain View, CA

Hiring: Prompt Engineer Company: BayOne Solutions Location: Mountain View, CA Job Posted Time: 2026-09-15 10:31:30 Employment Type: Contract / Hybrid Target Skills & Keywords : Fine-tuning, LLM, LangChain, Large Language Model, LlamaIndex, Machine Learning, Milvus, NLP, Pinecone, Python, Qdrant, RAG, REST, RESTful, React, Weaviate About the job Required Skills: •Prompt Engineering & System Instruction: Design, test, and refine system prompts, instruction templates, and context windows across diverse LLM architectures (e.g., OpenAI GPT, Anthropic Claude, open-source models). •Context Architecture & RAG: Optimize context retrieval and injection strategies, ensuring models receive relevant, dense, and structured data for downstream tasks. •Evaluations & Benchmarking: Establish evaluation metrics (evals), benchmark suites, and testing pipelines to measure prompt performance, latency, accuracy, hallucination rates, and instruction adherence. •Safety & Alignment: Implement guardrails, red-teaming protocols, and edge-case handling to mitigate risks such as prompt injections, jailbreaks, data leakage, and toxic outputs. •Cross-Functional Collaboration: Partner with Data Engineers, Machine Learning Engineers, and Product Managers to integrate optimized prompts into core software APIs and product workflows. •Model Optimization & Fine-Tuning: Collaborate with ML engineers to format and curate high-quality datasets for fine-tuning or few-shot learning setups. •LLM Expertise: Deep operational understanding of LLMs, attention mechanisms, context limits, tokenization, and model behavior variations. •Prompting Mastery: Proficiency in advanced techniques including Chain-of-Thought (CoT), Few-Shot learning, ReAct, System Message steering, and Structured Output generation (JSON/Pydantic schemas). Qualifications: •Background in Computational Linguistics, Natural Language Processing (NLP), Computer Science, or Cognitive Science. •Understanding of API integration, RESTful services, and asynchronous programming in Python. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!