Prompt Engineer
virtusaAustin (TX)
About the role
Key Skills:
Prompt Engineering, LLMs (GPT/Claude), Prompt Evaluation & Optimization, LangChain, RAG & AI Agents, Python, API Integration, LLM Security & Guardrails Having 8+ years of experience on the following: Prompt Design & Optimization – Craft, test, and refine prompts for LLMs to maximize accuracy, relevance, and consistency across use cases (chatbots, agents, RAG systems).Evaluation & Experimentation – Design evaluation frameworks (A/B testing, benchmarking, rubric-based scoring) to measure prompt performance and iterate systematically. LLM & Tooling Expertise – Deep understanding of LLM behavior (GPT, Claude, etc.), context windows, tokenization, fine-tuning vs. prompting trade-offs, and frameworks like LangChain or similar orchestration tools. Cross-functional Collaboration – Work closely with product, engineering, and data science teams to translate business requirements into effective prompt/agent workflows. Technical & Analytical Skills – Strong Python scripting, API integration, data analysis, and familiarity with prompt security/safety practices (jailbreak prevention, bias mitigation, guardrails).
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.