Job Title: Senior AI Engineer / Solution Architect Company Name: Simplifyed AI Job Url: https://www.linkedin.com/jobs/view/4380937924/?eBP=NOT_ELIGIBLE_FOR_CHARGING&trk=flagship3_search_srp_jobs&refId=9HMdiJSX6Q8p8zYDms07eg%3D%3D&trackingId=4Y%2FVLsrVJN0AZ2%2FuUZ%2B2qg%3D%3D Job Description: Simplifyed AI Senior AI Engineer / Solution Architect United States · 1 hour ago · 56 applicants Promoted by hirer · No response insights available yet Remote Contract Easy Apply Save Use AI to assess how you fit Get AI-powered advice on this job and more exclusive features with Premium. Try Premium for Rs 0 Show match details Tailor my resume Help me stand out People you can reach out to Meet the hiring team Cornelia Anderson • 3rd Founder & Technology Leader | SaaS Entrepreneur | Driving Innovation & Successful Exits Job poster Message About the job About Us Simplifyed AI is dedicated to creating intelligent, human-centered technology that empowers individuals and enhances their lives. With a focus on innovative AI solutions and user-centric design, the company aims to help people navigate important life decisions confidently while connecting them to valuable resources and support. Currently operating in stealth mode, the organization is actively building transformative tools with far-reaching impact. What we can say is that for us, the AI isn’t a feature bolted onto a traditional app; it’s the core product experience. Engagement Details Direct hire only (no agencies or third party services) Engagement Type: Contract Hours: Full-time (40 hrs/week) Location: Remote: US-based preferred. Must have meaningful overlap with Eastern Time Compensation: Competitive contract rate commensurate with experience. Please include your rate in the application Start: Now. We're ready to go! The Role We have a clear product vision, a defined launch timeline, discovered detailed architecture specifications, and detailed product requirements. We’re hiring our first technical lead. You’ll be the founding engineer responsible for both the architecture and the hands-on build of a multi-service platform with a conversational AI engine at its core. This is not a “draw diagrams and hand off” architect role. You’ll be making architecture decisions and writing production code. You’ll set the technical foundation that future team members build on, so the patterns, conventions, and infrastructure you establish matter. What You'll Build Conversational AI Engine The heart of the platform. A multi-turn conversational AI system that guides users through a structured process, asks contextual follow-up questions, classifies inputs into defined categories, extracts structured data from natural language, and generates workflow-based output. This requires LLM orchestration, prompt engineering, context management, and iterative quality tuning. Platform Backend API services, database architecture, authentication with role-based access control, workflow and lifecycle management, document generation (PDF), notification system, payment integration, and third-party service integrations. Cloud Infrastructure Environment setup, CI/CD pipeline, containerized deployment, monitoring, and security foundations appropriate for handling sensitive personal information in a regulated context. Frontend Foundation React-based web application serving multiple user types with distinct dashboards and workflows. You don’t need to be a frontend specialist, but you should be comfortable building functional UI that a dedicated designer can polish. AI-Accelerated Development Lifecycle Operate an AI-accelerated development model where LLM-based tools are integrated throughout the build lifecycle from specification-to-scaffold, to test generation, to documentation, maximizing velocity for a lean founding team. We have exhaustive product specifications, documented business rules, and detailed acceptance criteria ready to feed into AI-assisted workflows. What We're Looking For Required: 7+ years software engineering with at least 3 years in a lead/architect role LLM application development — hands-on experience building products with large language models ( Claude, Gemini, GPT-4, or similar). Not just prompting, but building production systems around LLMs including orchestration, context management, and structured output extraction Python backend development at production scale PostgreSQL or comparable relational database design and optimization React or comparable modern frontend framework with functional, not necessarily pixel-perfect AWS Cloud platform experience for infrastructure setup, containerization (Docker/Kubernetes), CI/CD API design with RESTful APIs, authentication patterns, service-to-service communication Startup comfort where you can make pragmatic tradeoffs between ideal architecture and shipping on time Strongly Preferred: AI workflow orchestration: LangGraph, LangChain, or similar frameworks for multi-step AI pipelines RAG (Retrieval-Augmented Generation): vector databases (Qdrant, Pinecone, or similar), embedding strategies, knowledge base architecture Prompt engineering depth: systematic approach to prompt design, evaluation, and iteration for production-quality AI outputs AI-augmented development workflows: proven experience leveraging AI-assisted development tools (e.g., code generation, architecture scaffolding, automated testing) as a core workflow practice, not an occasional convenience. You see AI tooling as a force multiplier across the SDLC, not just code completion Node.js/TypeScript proficiency: valued for full-stack versatility and frontend integration. While our backend baseline is Python, strong JavaScript/TypeScript skills are a significant plus for cross-stack fluency Payments integration: subscriptions, one-time purchases, webhook handling Document generation: PDF creation, template engines, automated document assembly Real-time communication: WebSocket/SSE for streaming responses and live updates Bonus Points Experience in regulated industries requiring careful handling of personal data Familiarity with accessibility standards (WCAG) Experience building multi-actor platforms (different user types with different permissions and workflows) DevOps fluency where you can set up initial the infrastructure yourself, not just architect it Voice AI experience (ElevenLabs, Twilio, Deepgram, speech-to-text) How You'll Work Direct collaboration with the Product Owner who has comprehensive product specifications Founder involvement on product vision and business strategy Autonomy on technical decisions, where we’ll challenge your thinking but won’t override your expertise Additional team members (QA, UI/UX Designer, additional engineers) will be hired as the project scales you’ll influence those hiring decisions Milestone-based delivery aligned to a defined product launch timeline