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AI Engineer

Budget: $250.0 FIXED / ⭐ 4.99 (21) India

artificial-intelligence, machine-learning, python

AI Engineer – Template & Workflow Development (Perceive Now OS) Company: Perceive Now Headquarters: San Francisco, California Location: Remote Experience: 2 to 6+ Years Employment Type: Contract (4 Weeks) Project Duration: 4 Weeks Compensation: $250 USD (One Time Payment) ## About Perceive Now Perceive Now is building the next generation Enterprise AI Operating System (PN OS) that enables organizations to become AI native through intelligent AI agents, enterprise workflows, Retrieval Augmented Generation (RAG), Model Context Protocol (MCP), and secure enterprise automation. Our platform allows enterprises to build, deploy, and orchestrate AI solutions across multiple foundation models while maintaining enterprise grade governance, scalability, and security. As part of our continued expansion, we are rapidly growing the Perceive Now OS Template Marketplace, which contains thousands of reusable AI workflows across every business function and industry. We are looking for AI Engineers who not only understand modern LLM technologies, but can also design high quality AI workflows and templates that customers can immediately deploy within the platform. --- ## About the Role We are looking for a talented AI Engineer to help expand the Perceive Now OS Template Marketplace by creating production ready AI workflows, prompts, RAG pipelines, and enterprise automation templates. Unlike traditional software engineering roles, this position focuses on AI workflow engineering rather than application development. You will leverage your understanding of Large Language Models, prompt engineering, enterprise workflows, AI agents, and business processes to create reusable templates that solve real enterprise problems. Training, documentation, examples, and template standards will be provided before work begins. --- ## Project Deliverables During this 4 week engagement, the selected contractor will be expected to deliver: * A minimum of 1,000 production ready AI workflow templates. * Each template typically takes approximately 1 to 2 minutes to complete. * Once familiar with the template structure, experienced contributors typically create approximately 50 templates per hour while maintaining quality standards. * These expectations are based on Perceive Now's internal production benchmarks and are considered achievable within the project timeline. --- ## Key Responsibilities * Design production ready AI workflow templates for the Perceive Now Operating System. * Create enterprise ready prompts for business workflows. * Build structured AI workflows powered by modern Large Language Models. * Design Retrieval Augmented Generation (RAG) based workflows. * Create AI agent workflows for enterprise use cases. * Develop reusable workflow templates across multiple industries. * Translate business requirements into structured AI workflows. * Organize workflow inputs, outputs, prompts, and execution logic. * Design workflows that produce consistent, reliable enterprise outputs. * Improve existing marketplace templates. * Maintain consistent quality across all submissions. * Revise templates based on reviewer feedback. * Submit work continuously throughout the project. --- ## Template Categories Templates will span a broad range of enterprise functions, including: * Financial Analysis * Investment Banking * Accounting * Sales * Marketing * Customer Support * Customer Success * Operations * Procurement * Manufacturing * Wholesale Distribution * Supply Chain * Healthcare * Life Sciences * Legal * Human Resources * Competitive Intelligence * Executive Reporting * Risk & Compliance * Information Technology * Project Management * Strategy Consulting Additional categories will be assigned throughout the engagement. --- ## Required Skills * Strong understanding of Large Language Models (LLMs). * Experience using ChatGPT, Claude, Gemini, Azure OpenAI, or similar platforms. * Strong prompt engineering skills. * Good understanding of Retrieval Augmented Generation (RAG). * Understanding of AI agents and agentic workflows. * Strong business process thinking. * Excellent written English. * Strong analytical and problem solving skills. * Ability to translate business problems into AI workflows. * Strong attention to detail. * Ability to work independently. * Ability to consistently deliver high quality work at scale. --- ## Preferred Skills Experience with one or more of the following is highly preferred: * Python * FastAPI * OpenAI APIs * Anthropic APIs * Gemini APIs * Azure OpenAI * LangChain * LlamaIndex * CrewAI * AutoGen * Microsoft Semantic Kernel * Model Context Protocol (MCP) * Pinecone * Weaviate * Chroma * FAISS * PostgreSQL * Redis * REST APIs * Docker * Kubernetes * Azure * AWS * Google Cloud Platform * Git * GitHub Actions * CI/CD * OCR * Document Intelligence * Computer Vision * Open source LLMs * LoRA * Fine tuning * Enterprise workflow automation --- ## What Success Looks Like Successful candidates will: * Deliver at least 1,000 production ready templates. * Maintain high quality and consistency across all templates. * Require minimal revisions. * Follow Perceive Now template standards. * Design workflows that are immediately deployable by enterprise customers. * Complete all deliverables within the 4 week project timeline. --- ## Compensation $250 USD (One Time Payment) Payment will be made upon successful completion and acceptance of all agreed deliverables. --- ## How to Apply Please send: * Your resume. * LinkedIn profile. * GitHub profile (if available). * Examples of AI workflows, prompts, RAG systems, AI agents, or LLM projects you've built. * Brief summary of your experience with Generative AI, LLMs, prompt engineering, or enterprise AI. * Confirmation that you understand the project requires delivering a minimum of 1,000 templates over 4 weeks, with each template typically taking approximately 1 to 2 minutes to complete. * Your earliest available start date. Candidates with demonstrated experience building AI workflows, enterprise automation, RAG systems, prompt engineering solutions, and production ready LLM applications will be given preference.
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