Agentic AI Engineer

Job Description : We are seeking a highly skilled Agentic AI Engineer with 5+ years of experience in designing, developing, and deploying AI-powered applications and autonomous agent-based solutions. The ideal candidate will have strong expertise in Python, Large Language Models (LLMs), Agentic AI frameworks, cloud platforms, and full-stack development. You will be responsible for building scalable AI applications, integrating LLMs into production environments, and developing intelligent agent workflows that solve complex business problems.Key Responsibilities : - Design, develop, and deploy Agentic AI applications using modern AI orchestration frameworks.- Build intelligent AI agents using frameworks such as LangChain, LangGraph, Claude Agent SDK, or similar technologies.- Develop scalable backend APIs and AI services using Python (FastAPI, Flask) and/or Node.js (Express).- Build modern front-end applications using TypeScript, React, Next.js (App Router), and related technologies.- Integrate Large Language Models (LLMs) and AI APIs into enterprise-grade applications.- Design Retrieval-Augmented Generation (RAG) pipelines, prompt engineering strategies, and multi-agent workflows.- Develop machine learning models and predictive analytics solutions using Python.- Perform data analysis and derive actionable insights from structured and unstructured datasets.- Build event-driven applications and asynchronous workflows using messaging systems and job queues.- Deploy AI applications on cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP).- Containerize applications using Docker and support deployment through CI/CD pipelines.- Ensure application security, scalability, monitoring, and performance optimization for AI workloads.- Collaborate with product managers, data scientists, software engineers, and business stakeholders to deliver innovative AI solutions.- Participate in architecture discussions, code reviews, and technical design sessions.- Prepare technical documentation and stay updated with the latest advancements in Generative AI and Agentic AI technologies.Required Skills : - 5+ years of experience in AI/ML application development or software engineering.- Strong proficiency in Python and SQL.- Experience building and deploying AI/ML solutions in production environments.- Hands-on experience with Agentic AI frameworks such as LangChain, LangGraph, Claude Agent SDK, or similar orchestration frameworks.- Strong knowledge of Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), embeddings, and vector databases.- Expertise in developing backend services using FastAPI, Flask, or Node.js (Express).- Strong front-end development experience with TypeScript, React, Next.js (App Router), HTML5, CSS3, and JavaScript.- Experience working with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP).- Hands-on experience with Docker, containerization, and deployment workflows.- Familiarity with event-driven architectures, asynchronous processing, job queues, and messaging systems.- Knowledge of machine learning libraries such as Scikit-learn, TensorFlow, PyTorch, or similar frameworks.- Strong understanding of REST APIs, microservices architecture, authentication, and application security.- Experience with Git, CI/CD pipelines, Agile/Scrum methodologies, and DevOps practices.- Excellent analytical, problem-solving, communication, and stakeholder management skills.Preferred Qualifications : - Bachelor's or Master's degree in Engineering, Computer Science, Data Science, Information Technology, Analytics, Economics, Finance, or a related field.- Certifications in AWS, Azure, GCP, or AI/ML technologies are preferred.- Experience with vector databases such as Pinecone, Weaviate, ChromaDB, Milvus, or FAISS is an added advantage.- Familiarity with observability tools, AI evaluation frameworks, and MLOps practices is desirable.- Experience working on enterprise AI transformation or Generative AI initiatives is a plus. (ref:hirist.tech)