Workeron AI is an AI Product Builder and AI Transformation partner. We create AI agents, multi-agent systems, internal AI tools, and AI-powered digital employees for founders, teams, and businesses.
We build fast, execution-focused AI products at the intersection of business, automation, and applied intelligence. Our goal is not just to develop software, but to launch working AI solutions that generate measurable value in real workflows.
We are looking for a strong senior-level builder who can independently design, prototype, and launch AI products, agentic systems, and scalable technical foundations for future growth.
Role mission
Your mission is to lead the technical creation of AI agents, multi-agent systems, and rapid product prototypes — from architecture and first implementation to deployable MVPs and pilot-ready solutions.
This is not a narrow executor role. We are looking for a senior engineer with strong product sense, system thinking, and startup execution speed — someone who can take raw ideas, shape technical solutions, build quickly, and help turn prototypes into real products.
What you will do * Lead development of AI agents, multi-agent systems, and AI-powered product features * Design and build production-minded MVPs and prototypes with high speed * Define and implement client-server architecture for agentic products and workflows * Build backend systems for orchestration, memory, tool execution, logging, permissions, and integrations * Integrate LLMs, APIs, data sources, vector search, automations, and external services * Create lightweight but strong user-facing products, internal tools, dashboards, and landing pages * Make architecture decisions that balance speed, flexibility, and future scalability * Work directly with founder and product direction to validate product hypotheses fast * Bring technical clarity into ambiguous product ideas * Improve system reliability, observability, evaluation quality, and iteration speed * Support deployment, testing, iteration, and evolution from demo to stable product * Contribute to technical standards, stack decisions, and engineering best practices inside the product builder
What we expect
Core requirements * 5+ years of commercial development experience * Strong hands-on experience in Python and/or JavaScript/TypeScript * Solid experience building AI products, LLM applications, or agentic systems * Proven track record of shipping fast MVPs, prototypes, and real user-facing products * Strong experience with client-server architecture, APIs, and backend systems * Ability to independently move from idea to architecture to working implementation * Strong product thinking and business understanding * High ownership and ability to work with minimal supervision * Comfortable operating in ambiguity and fast-changing startup environments
AI / ML / agentic systems * Strong practical experience with LLM APIs and model integration * Experience with RAG, embeddings, vector databases, tool calling, structured outputs * Experience building agents, multi-step reasoning systems, or multi-agent workflows * Understanding of prompt engineering, memory design, context handling, evaluation, guardrails, and hallucination mitigation * Understanding of latency, token economics, cost optimization, and AI system tradeoffs * Experience with relevant frameworks such as LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, or similar * Practical understanding of how to make AI systems useful, reliable, and commercially testable
Backend / system design * Strong experience building APIs and backend services * Experience with frameworks such as FastAPI, Node.js, NestJS, Express, or similar * Strong knowledge of PostgreSQL, Redis, and general database/system design * Experience with queues, async tasks, background jobs, webhooks, and event-driven flows * Ability to design modular, pragmatic, and extensible architecture * Strong understanding of auth, access control, logging, monitoring, and failure recovery * Ability to build systems that are fast to launch but clean enough to evolve
Frontend / product packaging * Ability to build simple, clean, and functional UI for MVPs, internal tools, and demos * Experience with React, Next.js, or similar frontend stack * Ability to launch product landing pages and validation pages quickly * Understanding of user flows, UX basics, and product packaging for early-stage launches
DevOps / deployment * Experience with Docker * Experience deploying apps to AWS, GCP, Vercel, Railway, Render, or similar platforms * Good understanding of CI/CD basics * Ability to independently deploy, debug, and maintain working environments
Nice to have * Experience with voice agents, assistants, transcription, or multimodal systems * Experience with automation tools such as n8n, Make, or Zapier * Experience with Supabase, Firebase, or similar fast-build stacks * Experience in startup, product studio, or AI-native environments * Experience building landing pages, waitlists, and fast test funnels for validating products * Experience mentoring other developers or acting as technical lead on small teams * Experience with analytics, A/B tests, telemetry, and product experiment infrastructure
Who fits this role well * You are a senior builder, not just a task executor * You can make strong technical decisions under uncertainty * You understand how to turn business hypotheses into technical products * You know how to prototype quickly without creating chaos * You are pragmatic and product-oriented * You care about shipping, validation, and measurable outcomes * You are excited by AI, automation, and the future of digital workers * You want to help build a serious AI product direction from an early stage
What is especially important for us * Seniority in judgment, not only years of experience * Speed with technical depth * Ability to work across backend, AI, architecture, and lightweight product interfaces * Readiness to own a problem end-to-end * Strong execution discipline * Curiosity, autonomy, and startup resilience * No overengineering for the sake of overengineering
Interview focus
During the interview we will assess: * depth of real AI/LLM experience * ability to architect agentic systems * speed of prototyping and execution quality * maturity in backend and system design * ability to build end-to-end product prototypes * ability to choose pragmatic technical solutions * product sense, ownership, and communication
Example tasks in the role * Build and launch an AI agent that connects to user tools, understands context, and executes actions * Design a multi-agent workflow for a business use case and deploy it as a pilot * Build a backend for orchestration, memory, and external integrations * Create a working landing page + MVP flow for a new AI product hypothesis * Turn a founder idea into a testable product in days or weeks * Improve an early prototype into a stable architecture for scaling
We offer * Salary from $4000/month * Work on real AI agents, digital workers, and applied AI products * Direct collaboration with founder on product direction * High ownership and strong influence on architecture and technical decisions * Fast-moving environment with low bureaucracy * Opportunity to grow into Lead AI Engineer, Head of Product Engineering, or future technical leadership role * Remote-first format * Real impact on what gets built and how fast it reaches the market
