β Featured

MissionStaff
Prompt Engineer
This role is for a Prompt Engineer focused on AI and LLM solutions in e-commerce, requiring 3+ years in prompt engineering and vector databases. The contract is over 6 months, with a competitive pay rate, and work is remote.
π Country
United States
ποΈ Location
Unknown
π Contract
Unknown
πͺ Seniority
Entry level
π° Range
Unknown
π± Currency
$ USD
πΈ Pay
Unknown
ποΈ Discovered
August 14, 2025
π Location detailed
Chicago, IL
recfJRHwzmUWvhlhy
π§ Skills
#API Integration
Role description
We are seeking a highly skilled Prompt Engineer to drive the development, optimization, and scalability of AI and LLM solutions within our digital commerce ecosystem. This role will lead prompt engineering initiatives, integrate advanced vector database architectures, and design AI-powered features that enhance customer experience and business performance. The ideal candidate will combine deep technical expertise with strong collaboration skills to deliver measurable results through innovative AI applications.
Responsibilities
β’ Design, develop, and optimize advanced prompts for multiple LLMs to support chatbots, search, content generation, and analytics.
β’ Implement A/B testing frameworks, performance metrics tracking, and prompt versioning systems.
β’ Architect and manage vector database solutions for embedding storage, retrieval, and similarity search, including RAG integrations.
β’ Build and optimize data pipelines for embedding generation, indexing, and query performance.
β’ Collaborate with cross-functional teams to translate business requirements into AI-powered solutions.
β’ Document and share best practices, mentor team members, and provide technical guidance on prompt engineering and vector database use.
β’ Define KPIs, monitor AI performance, and report on outcomes, conversion impact, and ROI.
Qualifications
β’ Bachelorβs degree in Computer Science, Engineering, or related field.
β’ 3+ years of experience in prompt engineering and LLM optimization.
β’ 3+ years of experience with vector databases and embedding technologies.
β’ Strong eCommerce domain knowledge and understanding of customer journey optimization.
β’ Proficiency in Python and familiarity with AI/ML frameworks such as LangChain, LlamaIndex, and Hugging Face.
β’ Experience with data engineering, MLOps practices, and A/B testing.
β’ Strong communication skills for translating technical concepts to non-technical audiences.
β’ Preferred: experience with semantic search, recommendation systems, multiple vector database platforms, prompt injection prevention, AI safety best practices, fine-tuning techniques, GraphQL/REST API integration, and GCP.
MissionStaff is an equal opportunity employer.
We are seeking a highly skilled Prompt Engineer to drive the development, optimization, and scalability of AI and LLM solutions within our digital commerce ecosystem. This role will lead prompt engineering initiatives, integrate advanced vector database architectures, and design AI-powered features that enhance customer experience and business performance. The ideal candidate will combine deep technical expertise with strong collaboration skills to deliver measurable results through innovative AI applications.
Responsibilities
β’ Design, develop, and optimize advanced prompts for multiple LLMs to support chatbots, search, content generation, and analytics.
β’ Implement A/B testing frameworks, performance metrics tracking, and prompt versioning systems.
β’ Architect and manage vector database solutions for embedding storage, retrieval, and similarity search, including RAG integrations.
β’ Build and optimize data pipelines for embedding generation, indexing, and query performance.
β’ Collaborate with cross-functional teams to translate business requirements into AI-powered solutions.
β’ Document and share best practices, mentor team members, and provide technical guidance on prompt engineering and vector database use.
β’ Define KPIs, monitor AI performance, and report on outcomes, conversion impact, and ROI.
Qualifications
β’ Bachelorβs degree in Computer Science, Engineering, or related field.
β’ 3+ years of experience in prompt engineering and LLM optimization.
β’ 3+ years of experience with vector databases and embedding technologies.
β’ Strong eCommerce domain knowledge and understanding of customer journey optimization.
β’ Proficiency in Python and familiarity with AI/ML frameworks such as LangChain, LlamaIndex, and Hugging Face.
β’ Experience with data engineering, MLOps practices, and A/B testing.
β’ Strong communication skills for translating technical concepts to non-technical audiences.
β’ Preferred: experience with semantic search, recommendation systems, multiple vector database platforms, prompt injection prevention, AI safety best practices, fine-tuning techniques, GraphQL/REST API integration, and GCP.
MissionStaff is an equal opportunity employer.