An Artificial Intelligence Engineer develops, tests, and deploys artificial intelligence models. May work closely with data software engineers and data professionals to train and implement AI models into existing systems or develop new applications.
We are seeking a highly skilled AI Engineer - Agentic AI Development to join an exciting enterprise AI initiative with a leading retail client. This is a fully hands-on engineering role focused on designing, building, and deploying production-ready Agentic AI systems that automate complex business workflows. The ideal candidate will have a strong background in software engineering with recent (within the last 1-2 years) hands-on experience building and shipping AI agents into production . This is not a research or proof-of-concept role—the selected candidate must be able to demonstrate real-world experience developing, deploying, and maintaining agentic AI solutions in production environments. Key Responsibilities Design, develop, and deploy production-grade AI agents and multi-agent systems. Build agent orchestration, tool integrations, and Model Context Protocol (MCP)-based solutions. Develop evaluation frameworks to measure agent performance, accuracy, reliability, and failure modes. Implement context engineering, memory management, and retrieval strategies for enterprise AI applications. Build scalable, production-ready software following the complete SDLC. Collaborate with client engineering teams to deliver intelligent automation solutions. Optimize AI applications for performance, latency, scalability, and cost. Contribute to engineering best practices and mentor team members on modern Agentic AI development.
Must-Have Skills:
5-8 years of software engineering experience with strong production development experience. Recent (within the last 1-2 years) hands-on experience building and deploying Agentic AI solutions. Proven experience designing and shipping production AI agents—not prototypes or experimental projects.
Strong understanding of:
Multi-agent orchestration AI tool integration Context engineering Memory and state management Agent evaluation methodologies Experience with modern LLMs and Agentic AI design patterns. Experience working with one or more of the following: LangGraph AutoGen CrewAI Semantic Kernel Claude Agent SDK OpenAI Assistants API Strong software engineering fundamentals including system design, testing, deployment, and production support. Excellent communication and stakeholder collaboration skills.
Preferred Qualifications :
Prior experience as a Software Engineer with enterprise-scale application development. Hands-on experience with Claude Agent SDK . Experience with LLM optimization, prompt engineering, and AI cost management. Experience designing scalable AI systems for enterprise applications. Retail or e-commerce domain experience is a plus. Experience working in Agile development environments.
Required Qualifications :
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field. Strong problem-solving and software architecture skills. Demonstrated ability to independently design, build, test, and deploy production-grade AI solutions. Ability to work effectively with minimal supervision in a fast-paced engineering environment.
