Requirements Strong experience with LLMs such as OpenAI GPT, Anthropic Claude. Hands-on experience with agentic frameworks (LangChain, AutoGen) Proficient in Python and relevant AI libraries e.g., HuggingFace, Transformers, LangChain.

About the Role We are seeking a highly skilled and innovative AI Agent Developer with expertise in building intelligent agents using Large Language Models (LLMs) and integrating them with automation systems. The ideal candidate will have a deep understanding of prompt engineering, agent orchestration, tool integration, and automation workflows across APIs, web apps, and enterprise tools. Responsibilities Design, develop, and deploy AI agents powered by LLMs (e.g., GPT-4, Claude, Gemini). Integrate AI agents with tools, APIs, databases, and automation frameworks. Develop reusable prompt chains and workflows for common tasks and decision-making processes. Utilize frameworks such as LangChain, AutoGen, CrewAI, or Semantic Kernel to manage multi-agent architectures. Fine-tune or instruct LLMs for specific use-cases or industry applications. Optimize performance, reliability, and cost-efficiency of AI workflows. Collaborate with data scientists, product managers, and engineers to design end-to-end AI solutions. Implement automation in internal tools, customer interactions, or operational pipelines using AI agents. Requirements Must-Have: Strong experience with LLMs such as OpenAI GPT, Anthropic Claude, or Meta Llama. Hands-on experience with agentic frameworks (LangChain, AutoGen, CrewAI, etc.). Proficient in Python and relevant AI libraries (e.g., HuggingFace, Transformers, LangChain). Solid understanding of prompt engineering and retrieval-augmented generation (RAG). Knowledge of automation tools like Zapier, Make, Airflow, or custom Python automation. Experience working with APIs, webhooks, and data integrations. Nice-to-Have: Experience with vector databases (e.g., Pinecone, Weaviate, FAISS). Knowledge of fine-tuning or customizing open-source LLMs. Familiarity with cloud platforms (AWS, GCP, Azure) and deployment of AI solutions. Experience with UI/UX for chatbot or agent interfaces.

Responsibilities Design, develop, and deploy AI agents powered by LLMs (e. g., GPT-4 Claude, Gemini). Integrate AI agents with tools, APIs, databases, and automation frameworks. Develop reusable prompt chains and workflows for common tasks and decision-making processes. Utilize frameworks such as LangChain, AutoGen, CrewAI, or Semantic Kernel to manage multi-agent architectures. Fine-tune or instruct LLMs for specific use-cases or industry applications. Optimize performance, reliability, and cost-efficiency of AI workflows. Collaborate with data scientists, product managers, and engineers to design end-to-end AI solutions. Implement automation in internal tools, customer interactions, or operational pipelines using AI agents. Requirements Strong experience with LLMs such as OpenAI GPT, Anthropic Claude, or Meta Llama. Hands-on experience with agentic frameworks (LangChain, AutoGen, CrewAI, etc. ). Proficient in Python and relevant AI libraries (e. g., HuggingFace, Transformers, LangChain). Solid understanding of prompt engineering and retrieval-augmented generation (RAG). Knowledge of automation tools like Zapier, Make, Airflow, or custom Python automation. Experience working with APIs, webhooks, and data integrations. Nice-to-Have Experience with vector databases (e. g., Pinecone, Weaviate, FAISS). Knowledge of fine-tuning or customizing open-source LLMs. Familiarity with cloud platforms (AWS, GCP, Azure) and deployment of AI solutions. Experience with UI/UX for chatbot or agent interfaces. This job was posted by Naincy Kumari from Rysysth Technologies.

Rysysth Technologies is a pioneer in designing and building AI systems for businesses seeking leadership in automation, intelligence, and adaptability. We provide a comprehensive suite of services including Microsoft AI Services, Customized Agentic AI Workflows, AI Automation, AI-Structured Data Solutions, Power Platform Solutions, and AI Consulting & Readiness. Our mission is to empower businesses with secure, production-grade AI systems built to deliver measurable results. Role Description – AI Agent Developer / LLM & Automation Engineer This is a full-time hybrid role based in Ahmedabad , offering flexibility for partial remote work. We are seeking a skilled AI Agent Developer / LLM & Automation Engineer with hands-on experience in building and deploying AI agents using cutting-edge LLM technologies. The ideal candidate will be responsible for designing intelligent, goal-driven agents tailored to business use cases, implementing end-to-end automation workflows, and delivering AI-structured data solutions across multiple domains. Key Responsibilities: Design, develop, and deploy custom AI agents using LLMs and agentic frameworks for business automation and intelligent decision-making Create and optimize AI workflows integrating data, logic, and automation layers Build and maintain AI-powered systems for chatbots, predictive analytics, RAG pipelines, and semantic search Integrate Microsoft AI Services , Power Platform tools, and automation frameworks into scalable enterprise solutions Collaborate with cross-functional teams to identify automation opportunities and convert them into agent-driven applications Conduct testing, monitoring, and iterative improvement of AI agents to ensure robustness and performance in production Qualifications: Proven hands-on experience in developing and deploying AI agents with LLMs (e.g., OpenAI, Azure OpenAI, Anthropic, etc.) Proficient in agentic architectures and frameworks (e.g., LangChain, Semantic Kernel, AutoGen, CrewAI, etc.) Strong background in AI development, automation engineering, and intelligent workflow design Experience with structured data solutions in the context of AI applications Familiarity with Microsoft AI ecosystem , Power Platform, and other AI automation tools Strong analytical, debugging, and problem-solving skills Ability to work both independently and collaboratively in a hybrid work environment Bachelor's or Master’s degree in Computer Science, Engineering, or a related field

You will be responsible for designing, developing, and deploying AI agents powered by LLMs such as GPT-4 Claude and Gemini. Your role will involve integrating AI agents with various tools, APIs, databases, and automation frameworks. You will be required to develop reusable prompt chains and workflows for common tasks and decision-making processes. Additionally, you will utilize frameworks like LangChain, AutoGen, CrewAI, or Semantic Kernel to manage multi-agent architectures. Your tasks will also include fine-tuning or instructing LLMs for specific use-cases or industry applications, as well as optimizing performance, reliability, and cost-efficiency of AI workflows. Collaboration with data scientists, product managers, and engineers to design end-to-end AI solutions is an essential part of this role. Furthermore, you will implement automation in internal tools, customer interactions, or operational pipelines using AI agents. To be successful in this position, you must have strong experience with LLMs such as OpenAI GPT, Anthropic Claude, or Meta Llama. Hands-on experience with agentic frameworks like LangChain, AutoGen, CrewAI, etc., is required. Proficiency in Python and relevant AI libraries such as HuggingFace, Transformers, LangChain is a must. A solid understanding of prompt engineering and retrieval-augmented generation (RAG) is also necessary. Knowledge of automation tools like Zapier, Make, Airflow, or custom Python automation will be beneficial. Previous experience working with APIs, webhooks, and data integrations is essential. Nice-to-have qualifications include experience with vector databases like Pinecone, Weaviate, FAISS, and knowledge of fine-tuning or customizing open-source LLMs. Familiarity with cloud platforms such as AWS, GCP, Azure, and deployment of AI solutions is an added advantage. Experience with UI/UX for chatbot or agent interfaces would also be beneficial. Joining Rysysth Technologies as an AI Agent Developer will provide you with exciting challenges and opportunities to work with cutting-edge technologies in the AI space.,