Python AI Engineer – Autonomous Agents

Python AI Engineer – Autonomous Agents | Fluid AI About the Company Fluid AI builds enterprise-grade Agentic AI platforms used by leading organizations across banking, financial services, manufacturing and the public sector. The company develops AI platforms that enable autonomous agents to reason, collaborate, integrate with enterprise systems and automate complex business workflows. Fluid AI focuses on building advanced AI infrastructure and enterprise solutions that go beyond traditional chatbots and basic AI applications. Job Overview Fluid AI is looking for a Python AI Engineer – Autonomous Agents to work on its core Agentic AI Platform. The selected candidate will contribute to developing and improving a Python-based platform used to build, manage and orchestrate autonomous AI agents. The role focuses on platform engineering, distributed systems, AI orchestration, workflow engines, enterprise integrations and scalable AI architecture. Engineers will work with modern AI technologies, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), vector databases and multi-agent frameworks. Role Details Company: Fluid AI Position: Python AI Engineer – Autonomous Agents Department: Engineering Employment Type: Full-time Location: Remote (India) Experience Required: 0–5 Years Key Responsibilities 1. Develop new capabilities for the Fluid AI Agentic Platform. 2. Design and implement autonomous AI agent architectures and orchestration capabilities. 3. Build and maintain platform components using Python. 4. Improve platform scalability, performance, reliability and developer experience. 5. Design reusable frameworks for AI workflows, memory management, tools, integrations and multi-agent collaboration. 6. Build integrations with enterprise systems, REST APIs, databases and external services. 7. Work with modern Large Language Models (LLMs), RAG pipelines, vector databases and AI infrastructure. 8. Participate in software architecture discussions and contribute to the future development of the platform. 9. Develop scalable solutions for complex enterprise AI workflows. 10. Improve the overall functionality and reliability of autonomous AI systems. Required Skills and Qualifications 1. 0–5 years of software development experience. 2. Strong programming skills in Python. 3. Good understanding of Data Structures and Algorithms (DSA). 4. Knowledge of software engineering fundamentals. 5. Familiarity with REST APIs and backend development. 6. Strong debugging and problem-solving abilities. 7. Curiosity and willingness to learn and develop advanced AI systems. Preferred Qualifications 1. Experience with FastAPI, AsyncIO or similar Python frameworks. 2. Knowledge of Docker, Kubernetes, Linux and cloud platforms. 3. Experience with LLMs and AI agent frameworks such as MCP, LangGraph, LangChain and CrewAI. 4. Understanding of distributed systems and workflow orchestration. 5. Experience building personal AI projects or contributing to open-source projects. 6. Familiarity with RAG pipelines, vector databases and multi-agent architectures. Technologies and Tools Python, FastAPI, AsyncIO, REST APIs, Large Language Models (LLMs), Generative AI, Agentic AI, Autonomous AI Agents, MCP, LangGraph, LangChain, CrewAI, Retrieval-Augmented Generation (RAG), Vector Databases, Docker, Kubernetes, Linux, Cloud Platforms, Distributed Systems, Workflow Orchestration, Backend Development, Data Structures and Algorithms. Who Can Apply? - Fresh graduates and experienced software engineers. - Candidates with 0–5 years of software development experience. - Strong Python programmers interested in AI engineering. - Developers passionate about autonomous AI agents and enterprise AI infrastructure. - Candidates interested in building AI platforms rather than simply integrating existing AI APIs. Why Join Fluid AI? 1. Opportunity to build an advanced enterprise Agentic AI platform. 2. Work on core platform engineering instead of repetitive application development. 3. Learn from engineers developing production AI systems for global enterprises. 4. Solve challenging problems involving autonomous agents, distributed workflows and enterprise-scale AI. 5. Contribute to designing and building next-generation AI platform architecture. Application Process Application Method: Online application or email. Apply: Use the company's Apply Now option. Email: careers@fluid.ai Job Details Department: Engineering Location: Remote (India) Job Type: Full-time Experience: 0–5 Years Skills and Topics Python, Generative AI, Agentic AI, Autonomous AI Agents, LLMs, MCP, LangGraph, LangChain, CrewAI, FastAPI, AsyncIO, REST APIs, Backend Development, RAG, Vector Databases, Docker, Kubernetes, Linux, Cloud Computing, Distributed Systems, Workflow Orchestration, Multi-Agent Systems, Data Structures and Algorithms, Software Engineering.