Python AI Engineer – Autonomous Agents

About Fluid AI Fluid AI builds enterprise-grade Agentic AI platforms used by leading organizations across banking, financial services, manufacturing, and the public sector. Our platform enables autonomous AI agents that can reason, collaborate, integrate with enterprise systems, and automate complex business workflows. We're looking for engineers who are passionate about building the next generation of AI systems, not just consuming AI APIs. About the Role As a Python Autonomous Agent Engineer, you'll work on the core Fluid AI Agentic Platform, our flagship Python-based platform for building and orchestrating autonomous AI agents. You won't be building one-off chatbots or simple AI applications. Instead, you'll help design and develop the platform itself, adding new capabilities, improving its architecture, and enabling it to power increasingly sophisticated enterprise AI solutions. This is a highly engineering-focused role where you'll work on distributed systems, AI orchestration, agent frameworks, workflow engines, integrations, and scalable platform architecture. Responsibilities Develop new capabilities for the Fluid AI Agentic Platform Design and implement autonomous agent architectures and orchestration capabilities Build platform components using Python Improve the scalability, performance, reliability, and developer experience of the platform Design reusable frameworks for AI workflows, memory, tools, integrations, and multi-agent collaboration Build integrations with enterprise systems, APIs, databases, and external services Work with modern LLMs, RAG pipelines, vector databases, and AI infrastructure Contribute to architecture discussions and help shape the future direction of the platform Required Skills 0–5 years of software development experience Strong Python programming skills Good understanding of data structures, algorithms, and software engineering fundamentals Familiarity with REST APIs and backend development Strong debugging and problem-solving skills Curiosity to learn and build cutting-edge AI systems Good to Have FastAPI, AsyncIO, or similar Python frameworks Docker, Kubernetes, Linux, or cloud platforms Experience with LLMs, MCP, LangGraph, LangChain, CrewAI, or other agent frameworks Knowledge of distributed systems or workflow orchestration Experience contributing to open-source projects or building personal AI projects Who Should Apply? We're open to fresh graduates through engineers with up to 5 years of experience. What matters most is strong programming ability, a passion for software engineering, and excitement about building the infrastructure behind autonomous AI, not just using it.