Job Title

The Opportunity of a Decade (or-a-lifetime)Imagine architecting a platform that makes 30+ AI models work in perfect harmony - where GPT-4, Claude, DeepSeek, and dozens more become instruments in a symphony you conduct. This isn't another AI wrapper or chatbot role. You'll build the intelligence layer that transforms how businesses think, operate, and compete. We're creating something that doesn't exist yet: a unified AI nervous system that augments human capabilities across every industry. If you've been waiting for a role where your architectural vision meets unlimited AI potential, this is it. Role OverviewYou'll design systems that serve everyone from Fortune 500 enterprises seeking strategic intelligence augmentation to startups needing 10x development acceleration. Our platform will enhance consulting capabilities with AI-powered insights, automate workflows that currently require entire departments, and enable applications previously impossible to build. Core Platform CapabilitiesMulti-AI Orchestration: Seamlessly integrate Western (OpenAI, Anthropic, Google), Asian (DeepSeek, Baidu, Alibaba), and regional AI providers Agentic Workflows: Design autonomous agents that plan, execute, adapt, and self-improve using AutoGPT, BabyAGI, and custom frameworks Real-time Processing: Handle voice, text, documents, structured data, and API streams with sub-second response times Intelligent Outputs: Generate everything from C-suite strategies to complete applications, predictive analytics to creative content Scale & Performance: Architecture supporting 10 users to 10 million, processing thousands of concurrent requests SECTION 1: AI ECOSYSTEM YOU'LL MASTERCommercial AI PlatformsLanguage & Reasoning Models OpenAI GPT-4/GPT-4 Turbo: Complex reasoning, code generation, strategic analysis ($0.01-0.06/1K tokens) Anthropic Claude 3/3.5: Long-context processing (100K+ tokens), ethical reasoning, nuanced analysis Google Gemini Pro/Ultra: Multimodal analysis, data processing, integration with Google ecosystem DeepSeek (China): Exceptional coding ability, technical problem-solving, algorithm optimization Baidu ERNIE 4.0: Chinese language mastery, cultural understanding, bilingual capabilities Alibaba Qwen: E-commerce insights, Chinese-English translation, business intelligence Meta Llama 2/3: Open-weight models for customization, on-premise deployment, fine-tuning Mistral/Mixtral: Efficient European models, mixture-of-experts architecture, cost-effective Enterprise Platforms Databricks: Unified analytics, ML pipelines, real-time processing Palantir Foundry: Data integration, operational intelligence, sensitive data handling Snowflake: Cloud data warehouse, elastic scaling, cross-cloud deployment C3.ai/DataRobot/H2O.ai: AutoML, enterprise AI applications, model management Development Acceleration GitHub Copilot: AI pair programming, code completion, bug detection Cursor IDE: Context-aware development, AI-first coding environment Amazon CodeWhisperer: AWS integration, security scanning Tabnine/Replit: Universal code completion, collaborative AI coding Creative Suite (Optional) Visual: DALL-E 3, Midjourney, Stable Diffusion, Adobe Firefly Video: Runway ML, Pika Labs, Synthesia, HeyGen Audio: ElevenLabs, Murf.ai, Play.ht, Resemble AI Open Source ArsenalFoundation Models: LLaMA variants, Mixtral, BLOOM, GPT-J/NeoX, Alpaca/Vicuna, WizardLM Specialized: Whisper (speech), Stable Diffusion (images), BERT/RoBERTa (analysis), T5/FLAN Frameworks: LangChain, Hugging Face, vLLM, Ollama, AutoGPT, BabyAGI, CrewAI Agentic AI & Autonomous SystemsAgent Architectures Design autonomous agents with memory, planning, tool use, and self-reflection. Implement ReAct patterns, chain-of-thought reasoning, and multi-agent collaboration. Create agents that decompose complex tasks, delegate to specialized sub-agents, and learn from outcomes. Workflow Orchestration Build sophisticated pipelines like: Voice input → Whisper transcription → GPT-4 understanding → Multiple specialist agents (research, analysis, creation) → Quality validation → Claude synthesis → ElevenLabs voice output. Handle parallel processing, conditional routing, and graceful degradation. Memory & State Management Implement long-term memory using vector databases (Pinecone, Weaviate, Chroma), episodic memory for conversation context, semantic memory for knowledge storage, and working memory for active tasks. Design RAG systems that intelligently retrieve and augment agent knowledge. SECTION 2: HUMAN EXPERTISE REQUIRED - System Architecture ChallengesMulti-Provider Orchestration How would you architect a platform handling 30+ AI providers with different response times, rate limits, and capabilities? Design for 99.9% uptime with automatic failover, load balancing, and quality consistency. Consider hybrid deployments mixing cloud APIs and self-hosted models. Agentic System Design Describe your approach to building autonomous agents that can: Break down "analyze our competitor landscape" into executable subtasks Coordinate multiple specialized agents (research, analysis, writing) Maintain context across hours-long workflows Self-correct when outputs don't meet quality standards Scale & Performance Your system starts with 10 users but must scale to millions. How do you: Design for elastic scaling without code changes? Optimize when some APIs cost $0.10/request while others cost $0.001? Implement intelligent caching without serving stale results?Business Value Creationo evaluate AI opportunities, match capabilities to outcomes that offer tangible returns—replace year‑long consulting engagements for enterprise clients, automate SME operations to save around 100 hours per month, enable startups to accelerate product development tenfold and design consumer features that feel magical. When managing stakeholders, explain the strategic benefits to CEOs, show sceptical CFOs the financial impact and guide departments through the change that AI‑driven transformation brings.Technical ImplementationQuality & Reliability How do you ensure AI outputs meet business standards when models can hallucinate? Design systems for: Automated quality scoring and validation Human-in-the-loop for critical decisions A/B testing different model configurations Handling edge cases and graceful failures Security & Compliance Design security for systems handling everything from trade secrets to personal data across multiple AI providers. Address: Data isolation between clients GDPR/CCPA/HIPAA compliance API key management and rotation Audit trails for AI decisions Preventing prompt injection attacks Cost Optimization With monthly API costs potentially reaching $100K+, how do you: Route queries to optimal models (quality vs. cost)? Implement smart caching strategies? Batch process when possible? Monitor and alert on spending anomalies? Negotiate enterprise agreements? REQUIRED SKILLS & EXPERIENCETechnical Foundation (3-5 years minimum)Architecture: Microservices, event-driven systems, distributed computing, high-availability design Programming: Python (expert), Node.js, Go; React/Vue for frontends Cloud Mastery: AWS (SageMaker, Lambda), GCP (Vertex AI), Azure (OpenAI Service) Data Systems: PostgreSQL, Redis, vector databases, streaming (Kafka/Kinesis) APIs: REST, GraphQL, WebSockets, gRPC; rate limiting, authentication, versioning AI & Agent Expertise (2+ years intensive)Multi-Model Integration: Production experience with 5+ AI providers Prompt Engineering: Advanced techniques - few-shot, chain-of-thought, constitutional AI Agentic Systems: Built autonomous workflows using LangChain, AutoGPT, or custom agents RAG Implementation: Vector search, embedding models, chunk optimization Fine-tuning: Experience adapting models for specific domains Cost Optimization: Reduced AI spending by 50%+ while maintaining quality Business & Commercial AcumenPricing Knowledge: Understand token economics, compute costs, margin requirements ROI Analysis: Quantify value, build business cases, track success metrics Market Understanding: Enterprise sales cycles, SME needs, startup constraints, consumer expectations Communication: Explain complex AI to executives, write clear documentation, present to boards Soft Skills That MatterWe seek someone who learns new AI models in days, breaks complex problems into AI‑solvable parts, links technical choices to business goals, applies AI creatively and stays resilient amid rapid change.WHAT SUCCESS LOOKS LIKEBuilt a platform processing 1 M+ AI requests daily, cutting latency from 30 s to under 2 s, reducing API costs by 70 %, achieving 99.9 % uptime and enabling reusable agents; this foundation lets clients replace consulting projects, save roughly 60 %, speed development, unlock AI‑driven revenue and see ROI in 90 days—while you enjoy a role that feels like your own company, complete with benefits and stock options.HOW TO APPLY: PORTFOLIO & APPLICATION What to Share (Respecting Confidentiality) We understand your best work may be under NDA. Only Share: Technical Approach: Describe architectural thinking without proprietary details. Focus on patterns, technologies, and problem-solving methodology. Anonymized Examples: Replace company names with "Enterprise Client," use generic metrics ("millions of requests"), focus on technical challenges over client specifics. Alternative Options: Personal projects, open-source contributions, technical blogs, or detailed responses to our scenarios. Section 2 Responses: Your approaches to our hypothetical scenarios demonstrate expertise without confidentiality concerns. Any other links or documents you can share of your expertise.Competitive salary and equity with the chance to work across dozens of cutting‑edge AI platforms and help set product and technical direction, alongside opportunities for conference speaking, publication and continual learning through diverse projects. TO APPLY Email portfolio and Section 2 responses to [mac@]. Candidate should be under 30 minutes commute from Malad West Office - 400064