About

Location: Remote (Worldwide) Engagement: Contract → Possible Long-Term Collaboration Experience Level: Senior (3–5+ years in AI/ML/Full Stack) 📌 About the Project We are building a next-generation multi-agent system (MAS) framework that enables autonomous agents to collaborate, reason, and execute tasks across real-world business workflows. The goal is to design an agentic platform where specialized AI agents can handle tasks like data retrieval, planning, API integrations, scheduling, and real-time decision-making. This system will serve as the backbone for multiple AI-powered applications, starting with workflow automation and scaling into verticals like finance, logistics, healthcare, and IoT. ================================================= Responsibilities - Design and implement a multi-agent architecture for distributed task execution. - Integrate with external APIs, databases, and workflow automation tools. - Develop agent communication protocols (e.g., planning, negotiation, and coordination between agents). - Implement memory, retrieval, and reasoning mechanisms (RAG, vector databases, etc.). - Optimize performance for real-time execution and scalability. - Collaborate with AI/ML engineers, product managers, and frontend developers to deploy end-to-end systems. ================================================= Required Skills - Strong Python/TypeScript development skills. - Experience with multi-agent frameworks (CrewAI, AutoGen, LangGraph, Haystack Agents, etc.). - Background in LLM integrations (OpenAI, Anthropic, HuggingFace, local LLMs). - Familiarity with workflow orchestration tools (n8n, Make, Airflow, or similar). - Knowledge of vector databases (Pinecone, Weaviate, Chroma, Milvus). - Experience deploying AI solutions on cloud platforms (AWS/GCP/Azure). ================================================= Nice to Have - Experience with autonomous planning & scheduling algorithms. - Background in multi-agent reinforcement learning (MARL). - Familiarity with knowledge graphs, semantic search, or symbolic reasoning. - Hands-on with API-first SaaS product development. - Strong understanding of AI safety, reliability, and agent evaluation frameworks. ================================================= What We’re Looking For - Someone passionate about building intelligent agent ecosystems. - Problem-solver who can design modular, scalable, and production-ready systems. - Strong communication skills and ability to collaborate in an async/remote environment. - Willingness to grow with the project as it expands into new verticals. ================================================= Why Join Us? - Work on cutting-edge multi-agent systems that go beyond single-model applications. - Opportunity to shape a core AI framework used across industries. - Long-term potential for leadership roles as we scale. - Flexible remote collaboration with a global-first AI consulting team. ================================================= How to Apply - Your resume/portfolio with relevant MAS/AI projects. - Links to any GitHub repos, demos, or case studies of agent systems you’ve built. - A short description of how you would architect a scalable multi-agent framework (2–3 sentences). ================================================= ⚡ Ready to build the future of autonomous agent systems with us? Apply now and let’s make it happen!