Senior AI Agent Developer / Senior AI Product Builder

Format: Full-time Level: Senior Location: Remote Salary: from $4000/month About Workeron AI 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