Senior AI Agent Developer / Senior AI Product Builder

About the Position

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 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.

Responsibilities12

• 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

Requirements25

• 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
• 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
• 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
• 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
• Ability to build simple, clean, and functional UI for MVPs, internal tools, and demos
• Experience with React, Next.js, or similar frontend stack
• 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

Benefits8

• 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