The job description contains valuable information but is overly repetitive, especially with the duplicated 'Job Overview' and 'Key Responsibilities' sections. It also includes a lot of irrelevant details towards the end, such as unrelated job listings, which should be removed to maintain focus and clarity. The formatting is generally adequate but can be improved by consolidating sections and removing unnecessary content. Here is a refined version that consolidates the key points, improves readability, and removes irrelevant information:
Technical Talent Acquisition I Performance Management I Onboarding Workflow Strategy
Job Overview:
InVitro Capital is seeking a highly skilled and strategic AI Prompt Engineer with expertise in Cloud Solutions, AI, Python, and Backend Solution Design to lead our engineering team. You will play a pivotal role in developing cutting-edge software solutions, leveraging cloud technologies, and implementing AI best practices. You will guide your team of engineers, ensuring the successful delivery of complex projects while shaping the technical direction of our innovative ventures. This is an exceptional opportunity to make a significant impact and contribute to the growth of our diverse portfolio.
Working Hours: Monday to Friday and on-site.
Key Responsibilities:
- Prompt Engineering & Optimization: Design, refine, and maintain prompts, system messages, and few-shot examples to maximize LLM accuracy, tone consistency, and output safety.
- LLM Evaluation & Testing: Conduct A/B tests and automated evaluations to track key metrics such as relevance, factuality, and response latency across models and use cases.
- Cross-Functional Integration: Collaborate with product, data science, and engineering teams to embed prompt logic into production systems and user-facing features.
- Prompt Library Management: Develop and maintain a centralized prompt library with documented best practices for reuse, scalability, and cross-product consistency.
- LLM Research Application: Stay up-to-date on the latest advancements in LLM prompting, safety guidelines, and tuning techniques to apply cutting-edge methods in production.
Requirements:
- Education: Bachelor's degree in Computer Science, Engineering, or a related field.
- Experience: 5+ years in AI solution engineering with a focus on prompting and client-facing collaboration.
- Language Proficiency: Native or near-native English fluency, with strong sensitivity to tone, clarity, and nuance in language model outputs.
- LLM Prompting Experience: Hands-on experience with models like GPT-4/4o, Claude, Gemini, or LLaMA 3.
- NLP & Evaluation Fundamentals: Strong understanding of core NLP concepts and evaluation methods.
- Python Proficiency: Skilled in Python for prototyping, data analysis, and experimentation.
- Effective Communication: Ability to explain prompt strategies and model behaviors to both technical and non-technical stakeholders.
- Preferred Skills: Familiarity with RAG pipelines and prompt-based guardrails is a plus.
Benefits:
- Work on cutting-edge AI and B2B technologies with impactful projects.
- Contribute to building and growing successful startups within our portfolio.
- Collaborate with industry-leading experts and learn from talented peers.
- Supportive, collaborative work environment.
- Competitive salary and benefits package, including $140k-$170k, equity, health insurance, dental, vision, and 401(k).