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Freelance Agentic Ai Engineer Surat (India)

Jaipur, Rajasthan
Engineering - Architecture
#733159
Remote / WFH
Leading MNC

Job Description

Freelance Agentic AI Engineer Remote Long-Term Next-Generation AI & Autonomous Systems We are hiring experienced Agentic AI Engineers for a long-term remote engagement with globally distributed engineering teams building cutting-edge AI products, autonomous agents, and enterprise-scale GenAI solutions. This Role Is for You If You are currently employed full time and open to a part-time freelance engagement on the side. You work 100% remotely in your primary role and prefer a adaptable work environment. You are passionate about building AI agents that can reason, plan, act, and automate complex workflows. You want reliable, meaningful additional income without switching jobs. You are comfortable with a freelance/contract engagement model with no full-time conversion requirement. About CodeVyasa We are a product engineering firm partnering with top-tier global organizations across fintech, consulting, retail, healthcare, and technology domains. Our 750+ engineering team delivers high-impact solutions across: Product Engineering Data Engineering Agentic AI Generative AI (GenAI) You will collaborate with senior AI researchers, architects, and engineering leaders to build intelligent systems that operate at enterprise scale. What You'll Work On You will contribute to the design, development, and deployment of advanced Agentic AI solutions capable of autonomous decision-making, multi-step reasoning, and workflow orchestration. Your Responsibilities Will Include: Designing and building autonomous AI agents for enterprise use cases. Developing multi-agent systems capable of planning, reasoning, and task execution. Integrating Large Language Models (LLMs) into business workflows and applications. Building AI-powered copilots, assistants, and workflow automation solutions. Implementing agent orchestration frameworks and tool-calling architectures. Developing Retrieval-Augmented Generation (RAG) pipelines and knowledge systems. Integrating A
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