Agentic AI Engineer

Urgent Hiring: - Agentic AI Engineer Multi Ops IT Solutions Build the next generation of autonomous AI systems Location: IT Park, Chandigarh Company: MultiOps IT Solutions Experience: 3-5 Years About the role We are actively looking for a passionate Agentic AI Engineer who thrives at the frontier of autonomous AI systems. You will design and deploy intelligent agents that plan, reason, and act integrating multi-model pipelines, orchestration frameworks, and real-world tool usage. If you are obsessed with agentic architectures, MCP, RAG, and making AI systems that actually do things, this role is for you. What you'll do -Design and build end-to-end Agentic AI systems with planning, memory, and multi-step reasoning capabilities -Develop and manage MCP (Model Context Protocol) driven architectures and tool-use pipelines -Implement RAG (Retrieval-Augmented Generation) systems using vector databases such as Pinecone, Deviate, or vector -Integrate multi-model AI solutions across OpenAI, Anthropic Claude, Google Gemini, and open-source LLMs -Build robust orchestration logic with fallback strategies, guardrails, and observability hooks -Develop APIs and backend services in Python / Node.js to support AI-powered workflows -Deploy and monitor production AI systems on AWS, Azure, or GCP with a focus on reliability and scale -Ensure AI explainability, security, and responsible deployment practices across all solutions What we're looking for - 35 years of hands-on experience in AI/ML engineering, with a strong focus on LLMs and generative AI - Solid understanding of agentic design patterns React, Chain-of-Thought, tool-calling, multi-agent collaboration -Proficiency in Python; familiarity with LangChain, LlamaIndex, AutoGen, CrewAI, or similar agent frameworks -Experience building and consuming REST APIs, microservices, and event-driven architectures -Working knowledge of prompt engineering, fine-tuning strategies, and model evaluation techniques -Familiarity with AI observability tools (LangSmith, Helicone, Weights & Biases, etc.) -Understanding of CI/CD pipelines and DevOps practices for AI systems Important / bonus skills -MCP / Tool-use, RAG Pipelines, Vector Databases, AI Orchestration, Multi-agent Systems, LangChain / LlamaIndex, Prompt Engineering, AI Observability, LSTM / Seq2SeqGuardrails / Safety OpenAI / Claude / Gemini APIs, AWS / Azure / GCP Why join us -Cutting-edge AI work Ship agentic AI systems that push the boundary of what's possible in production -Real-world impact Build solutions that solve meaningful business problems at scale -Strong career growth Clear path to senior roles in one of the fastest-growing domains in tech -Collaborative culture Innovation-driven, flat hierarchy, and a team that ships fast and learns faster Ready to build the future of AI Interested candidates can apply or DM me directly at hr@multiops.com Lets build the future of AI together! Compensation: 600,000.00 - 900,000.00 per year Work Location: In person Urgent Hiring: - Agentic AI Engineer Multi Ops IT Solutions Build the next generation of autonomous AI systems Location: IT Park, Chandigarh Company: MultiOps IT Solutions Experience: 3-5 Years About the role We are actively looking for a passionate Agentic AI Engineer who thrives at the frontier of autonomous AI systems. You will design and deploy intelligent agents that plan, reason, and act integrating multi-model pipelines, orchestration frameworks, and real-world tool usage. If you are obsessed with agentic architectures, MCP, RAG, and making AI systems that actually do things, this role is for you. What you'll do -Design and build end-to-end Agentic AI systems with planning, memory, and multi-step reasoning capabilities -Develop and manage MCP (Model Context Protocol) driven architectures and tool-use pipelines -Implement RAG (Retrieval-Augmented Generation) systems using vector databases such as Pinecone, Deviate, or vector -Integrate multi-model AI solutions across OpenAI, Anthropic Claude, Google Gemini, and open-source LLMs -Build robust orchestration logic with fallback strategies, guardrails, and observability hooks -Develop APIs and backend services in Python / Node.js to support AI-powered workflows -Deploy and monitor production AI systems on AWS, Azure, or GCP with a focus on reliability and scale -Ensure AI explainability, security, and responsible deployment practices across all solutions What we're looking for - 35 years of hands-on experience in AI/ML engineering, with a strong focus on LLMs and generative AI - Solid understanding of agentic design patterns React, Chain-of-Thought, tool-calling, multi-agent collaboration -Proficiency in Python; familiarity with LangChain, LlamaIndex, AutoGen, CrewAI, or similar agent frameworks -Experience building and consuming REST APIs,