LLM Prompt Specialist

• **This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a LLM Prompt Specialist based in United States.**
• This role offers the opportunity to shape the future of AI-powered applications by designing advanced prompt strategies, agent workflows, and scalable LLM solutions.
• You will work at the intersection of software engineering, artificial intelligence, and product innovation, helping teams build reliable and responsible AI systems.
• The position focuses on creating reusable frameworks, evaluation methodologies, and best practices that enable effective adoption of large language models.
• You will collaborate with technical teams to improve AI capabilities, develop production-ready solutions, and influence engineering direction.
• This is an ideal opportunity for an experienced AI professional who enjoys solving complex problems and driving innovation in a rapidly evolving field.
• The role provides significant ownership, technical impact, and the chance to contribute to enterprise-scale AI transformation.

### Accountabilities

The LLM Prompt Specialist will define and lead the development of prompt engineering strategies, AI workflows, and technical patterns that support the creation of scalable LLM-powered applications. This role will combine hands-on engineering expertise with architectural thinking to improve AI capabilities across teams.

• Design and establish prompt engineering strategies, reusable patterns, and best practices for LLM-based applications.
• Build and optimize agentic workflows, prompt architectures, and AI-powered application frameworks.
• Develop evaluation pipelines and methodologies to measure the quality, reliability, and performance of non-deterministic AI systems.
• Create scalable solutions using modern LLM APIs, retrieval-augmented generation (RAG), embeddings, and vector databases.
• Develop and deploy production-ready AI applications while ensuring performance, reliability, and responsible AI practices.
• Partner with engineering teams to integrate LLM technologies into enterprise software solutions.
• Provide technical guidance and mentorship to engineers working on AI-related initiatives.
• Influence architectural decisions and define standards for AI application development.
• Evaluate emerging LLM technologies and recommend appropriate approaches based on business and technical needs.
• Ensure AI solutions follow responsible AI principles, including safety, compliance, and policy considerations.

## Requirements

The ideal candidate is an experienced software engineer and AI practitioner with a strong background in building and scaling LLM-powered applications. They should combine technical depth, communication skills, and the ability to guide teams through complex AI challenges.

• Bachelor’s or Master’s degree in Computer Science, Computational Linguistics, or a related technical field.
• 6+ years of software engineering experience, including significant experience developing LLM-based applications.
• Proven experience delivering AI-powered products or solutions into production environments.
• Strong knowledge of modern LLM APIs, agent frameworks, and AI application architectures.
• Hands-on experience with retrieval-augmented generation, embeddings, and vector database technologies.
• Experience designing evaluation frameworks for AI systems with variable outputs.
• Strong Python development skills and familiarity with modern application frameworks.
• Understanding of responsible AI concepts, including safety, governance, and policy considerations.
• Excellent written and verbal communication skills with the ability to explain complex technical concepts.
• Experience mentoring engineers and influencing technical strategy.
• Familiarity with multi-agent architectures, tool-use systems, fine-tuning workflows, and enterprise AI integrations is a plus.
• Experience contributing through technical writing, public speaking, or open-source projects is a plus.

## Benefits

• Competitive annual salary range of **$100,000–$150,000**, based on experience and qualifications.
• Fully remote position available across the United States.
• Full-time direct employment opportunity.
• Opportunity to work on innovative AI initiatives and enterprise-scale solutions.
• Career growth opportunities within a technology-focused environment.
• Collaborative culture focused on engineering excellence and continuous learning.