Description
At Zeal, we are looking for a talented and proactive Agentic Engineer with strong software engineering experience and a passion for building AI-powered applications.
The ideal candidate will have hands-on experience developing applications that leverage LLMs, AI agents, and modern AI tooling, with a strong foundation in full-stack development and cloud technologies.
This role requires the ability to design, build, and integrate intelligent agentic workflows while collaborating closely with engineers, product teams, and stakeholders to deliver reliable and scalable solutions.
Responsibilities
Design, develop, and maintain AI-powered applications and agentic workflows.Build and integrate LLM-powered features using models such as Claude, OpenAI, and other leading AI platforms.Develop AI agents capable of reasoning, using tools, interacting with APIs, and completing multi-step tasks.Build full-stack applications and services using technologies such as React, TypeScript, and Python.Design and implement integrations with APIs, databases, cloud services, and external tools.Leverage Microsoft Azure to deploy, integrate, monitor, and scale AI-powered applications.Work with Azure services such as Azure OpenAI, Azure Functions, Azure AI services, Azure Storage, and Azure Container Apps.Work with agentic AI frameworks, orchestration tools, and emerging AI technologies.Develop effective prompting, context management, tool calling, and structured-output strategies.Evaluate and improve the reliability, accuracy, performance, and scalability of AI-powered solutions.Implement testing, monitoring, and evaluation strategies for LLM and agentic systems.Collaborate closely with engineers, product managers, and stakeholders to translate business requirements into technical solutions.Participate in architectural decisions and contribute to engineering best practices.Troubleshoot and resolve issues across application, infrastructure, and AI/LLM components.Stay current with advancements in generative AI, LLMs, agent architectures, and AI development tooling.Contribute to continuous improvement of development processes, architecture, and technical standards.
Qualifications
3–6 years of professional software engineering experience.Strong proficiency in TypeScript/JavaScript and/or Python.Experience building production-grade web applications, APIs, or backend services.Hands-on experience working with LLMs and generative AI applications.Experience with AI platforms and APIs such as OpenAI, Anthropic/Claude, or similar.Experience building or integrating AI agents, agentic workflows, or tool-using LLM applications.Hands-on experience with Microsoft Azure and cloud-based application development.Familiarity with Azure services such as Azure OpenAI, Azure Functions, Azure AI services, Azure Storage, and Azure Container Apps.Experience deploying, monitoring, and scaling applications in cloud environments.Familiarity with agentic AI frameworks and tools such as LangChain, LangGraph, MCP, or similar technologies.Strong understanding of APIs, databases, cloud services, and software architecture.Experience with React or another modern frontend framework is preferred.Understanding of prompt engineering, context management, function/tool calling, and structured outputs.Familiarity with testing and evaluating LLM-based applications, including considerations around reliability and hallucinations.Experience working with Git and modern software development practices.Solid understanding of SDLC and Agile methodologies.Strong analytical, troubleshooting, and problem-solving skills.Excellent communication and collaboration abilities.Ability to work independently, learn quickly, and adapt to rapidly evolving AI technologies.
