Overview

AI Engineer - Agentic AI & Generative AI

Responsibilities

• Design, develop, and deploy AI agents capable of handling multi-step tasks, reasoning, and automated decision-making workflows.
• Build agent orchestration workflows incorporating tool calling, function execution, memory, and interactions with external systems.
• Develop Generative AI applications using LLMs, prompt engineering, retrieval-augmented generation (RAG), embeddings, and vector databases.
• Work with frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or Semantic Kernel to implement agent-based solutions.
• Integrate AI agents with REST APIs, databases, enterprise applications, and internal developer tools.
• Develop and maintain backend services and microservices to support AI application functionality, scalability, and reliability.
• Use Java and Core Java concepts to develop, integrate, debug, and support backend components and application services.
• Evaluate AI solution performance, troubleshoot issues, and improve response quality, reliability, and workflow execution.
• Support deployment and integration of AI applications within enterprise environments, following established engineering and security practices.
• Collaborate with engineering, product, and platform teams to identify use cases and deliver reusable AI capabilities.
• Contribute to code reviews, automated testing, CI/CD workflows, and continuous improvement of AI engineering solutions.

Qualifications

• 4+ years of professional experience in software or application development, with strong exposure to Generative AI and Agentic AI.
• Mandatory hands-on experience in Agentic AI development, including agent workflows, orchestration, tool/function calling, memory, or multi-step reasoning.
• Strong understanding of LLMs and their application in building AI-powered enterprise solutions.
• Experience with one or more Agentic AI frameworks, such as LangChain, LangGraph, AutoGen, CrewAI, or Semantic Kernel.
• Knowledge of RAG, embeddings, vector databases, prompt engineering, and AI application integration.
• Experience integrating AI agents with APIs, databases, enterprise systems, or business applications.
• Strong backend development fundamentals, including REST APIs, microservices, and scalable application design.
• Working knowledge of Java and Core Java, including collections, exception handling, multithreading, concurrency, and debugging.
• Ability to troubleshoot application issues and develop maintainable, production-ready code.
• Strong analytical, problem-solving, and communication skills.
• Agentic AI, Generative AI, LLMs, AI Agents, Java, LangChain, LangGraph, RAG, Vector Databases, Prompt Engineering, Tool Calling, AI Orchestration, REST APIs, Microservices, Backend Development, Docker, Kubernetes, CI/CD

Nice to have

• Experience deploying and maintaining Agentic AI or GenAI applications in enterprise environments.
• Practical experience with Java application deployment and backend service integration.
• Familiarity with Git, CI/CD pipelines, Docker, Kubernetes, and modern software engineering practices.
• Exposure to AWS, Microsoft Azure, or Google Cloud Platform.
• Experience in AI infrastructure, platform engineering, developer productivity tools, or enterprise AI transformation initiatives.

Education

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline. Candidates with relevant practical
• experience in AI engineering and software development will be considered.