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.