For a brief 1 minute video about us, you can check Role: Technical Lead - Operation AI/ML ... Define standards for advanced prompt engineering and context window management. Own delivery of RAG ...
For a brief 1 minute video about us, you can check Role: Technical Lead - Operation AI/ML ... Define standards for advanced prompt engineering and context window management. Own delivery of RAG ...
Video Prompt Engineer information
What are the key skills and qualifications needed to thrive as a Video Prompt Engineer, and why are they important?
To thrive as a Video Prompt Engineer, you need expertise in video production, scripting, and an understanding of AI prompt engineering, often supported by experience with media editing tools and a background in computer science or related fields. Familiarity with platforms like Adobe Premiere, After Effects, and generative AI systems such as OpenAI, Runway, or Synthesia is typically required. Strong creativity, attention to detail, and effective communication skills help in crafting prompts that yield high-quality, contextually relevant video outputs. These abilities are crucial for bridging the gap between technical AI capabilities and compelling visual storytelling, ensuring that generated video content meets project objectives.
What is a Video Prompt Engineer?
A Video Prompt Engineer is a professional who designs and optimizes prompts to guide artificial intelligence (AI) systems in generating or editing video content. They work closely with AI models to fine-tune instructions, ensuring the resulting videos meet specific creative, technical, or business goals. Their responsibilities often include scripting effective prompts, testing AI outputs, and collaborating with developers and creatives to enhance video quality and relevance. As AI video tools become more advanced, the role of a Video Prompt Engineer is becoming increasingly important in industries like advertising, entertainment, and digital content creation.
What are some typical challenges Video Prompt Engineers face when collaborating with creative teams?
Video Prompt Engineers often work closely with creative teams to develop prompts that yield visually engaging and contextually accurate video outputs from generative AI models. One common challenge is translating creative concepts into precise, technical prompts that the AI can interpret effectively. Balancing the creative vision with the technical constraints of the model requires strong communication and iterative problem-solving. Additionally, staying updated on the latest advancements in generative video technology is essential to ensure the prompts leverage new capabilities while maintaining high-quality results.
What is the difference between Video Prompt Engineer vs AI Content Creator?
| Aspect | Video Prompt Engineer | AI Content Creator |
|---|---|---|
| Required Credentials | Knowledge of AI models, prompt engineering, multimedia tools | Creativity, familiarity with AI tools, content development |
| Work Environment | Tech companies, media agencies, AI startups | Digital media, marketing firms, content platforms |
| Industry Usage | AI-driven video production, multimedia projects | Social media, advertising, online content |
| Search & Comparison Intent | Understanding roles in AI video creation | Creating AI-generated content for digital platforms |
The main difference is that a Video Prompt Engineer specializes in designing prompts for AI models to generate videos, focusing on technical prompt optimization. An AI Content Creator develops digital content using AI tools, often across various media types. While both roles involve AI and creativity, the Video Prompt Engineer is more technical and focused on video-specific prompts, whereas the AI Content Creator emphasizes content production and storytelling across platforms.
What are popular job titles related to Video Prompt Engineer jobs in Delaware? For Video Prompt Engineer jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Video Prompt Engineer jobs in Delaware look for? The top searched job categories for Video Prompt Engineer jobs in Delaware are:
What cities in Delaware are hiring for Video Prompt Engineer jobs? Cities in Delaware with the most Video Prompt Engineer job openings:
Job description
Hi Job Seekers,
We hope you are doing well. We are hiring for the role of Technical Lead - Operation AI/ML Enablement.
Who are we?
For the past 20 years, we have powered many Digital Experiences for the Fortune 500. Since 1999, we have grown from a few people to more than 6000 team members across the globe that are engaged in various Digital Modernization. For a brief 1 minute video about us, you can check
Role: Technical Lead - Operation AI/ML Enablement
Location: Newark, DE(Onsite)
Job Description:
Owns end-to-end delivery of how the organization builds LLM-powered applications: SDK/integration architecture, retrieval and agent design, guardrails, and evaluation. Makes the calls on which LLMs to use for which use cases and sets the observability/cost discipline around AI systems, but is measured on shipped outcomes runs the offshore team day-to-day and stays hands-on to unblock delivery risk.
Description for Internal Candidates
Key Responsibilities
Own delivery of LLM API integration and SDK patterns used across applications.
Set organizational guidance on which LLM to use for what use case and drive delivery of multi-LLM scenarios.
Define standards for advanced prompt engineering and context window management.
Own delivery of RAG systems, including vector database selection/topology and knowledgebase design.
Drive delivery of AI agent and multi-agent systems and tool-use/MCP integration patterns.
Own guardrails delivery (safety, compliance, PII handling in prompts/outputs) critical in a financial-services context.
Define evaluation frameworks and real-time eval strategy; set standards for AI testing in CI/CD.
Own latency profiling, AI observability, and cost tracking/management for LLM-backed systems.
Run day-to-day delivery of the offshore development team: sprint commitments, code/design review, real-time unblocking, and hands-on work on critical-path AI features.
Report delivery status, risks, and blockers to engineering leadership.
Must-Have Qualifications
6+ years in software engineering, with 2+ years as a tech lead owning end-to-end delivery of LLM/AI-powered systems (not a pure design/review architect role).
Proven track record of shipping AI-powered features on committed timelines, including hands-on troubleshooting under delivery pressure.
Strong, hands-on Python skills at an architectural/systems level.
Proven experience architecting LLM API integrations and SDK-level abstractions across multiple providers.
Demonstrated judgment on model selection (cost, latency, capability trade-offs) across use cases.
Deep expertise in prompt engineering and context window management at scale.
Proven design experience with RAG systems, including vector database architecture and knowledgebase design.
Experience architecting AI agents/multi-agent systems and tool-use patterns (MCP or equivalent).
Strong understanding of guardrails design content safety, PII protection, compliance controls for AI outputs.
Experience defining evaluation frameworks and integrating AI testing into CI/CD.
Proven ability to design for latency, observability, and cost management of AI systems in production.
Financial-services or regulated-industry experience strongly preferred given compliance/guardrail stakes.
Strong stakeholder communication; able to directly manage day-to-day delivery of an offshore team (standups, unblocking, sprint accountability).
Nice-to-Have Qualifications
Direct experience with specific frameworks (LangChain, LlamaIndex, Semantic Kernel, or equivalent).
Experience with AWS Bedrock or comparable managed LLM platforms.
Contributions to or deep familiarity with MCP (Model Context Protocol) implementations.
Experience building internal LLM gateways.
Familiarity with responsible-AI/model-risk-management frameworks used in financial services.
About Photon
Sourced by ZipRecruiter
Company size
1 - 10 Employees
Headquarters location
Cambridge, MA, US
Year founded
1984