AI Agent Engineer

🗂 We’re Hiring: AI Agent Engineer🕒 Employment Type: Full-Time💼 Level: Entry-Level to Mid-LevelWe are seeking a highly motivated, innovative, and technically skilled AI Agent Engineer to design, develop, and deploy intelligent AI agents capable of reasoning, using tools, interacting with systems, and automating complex workflows. This role is ideal for individuals passionate about Generative AI, LLMs, intelligent automation, and building next-generation AI applications.🎯 Key Responsibilities• Design, develop, and deploy AI agents for real-world business and operational use cases.• Build agentic workflows using Large Language Models, APIs, tools, and external data sources.• Develop systems that enable AI agents to reason, plan, execute tasks, and interact with external services.• Integrate LLMs with databases, APIs, business applications, and third-party tools.• Design Retrieval-Augmented Generation (RAG) systems and knowledge-based AI agents.• Develop multi-step workflows, tool-calling systems, and agent orchestration pipelines.• Implement memory, context management, retrieval, and state-handling mechanisms for AI agents.• Evaluate agent performance, reliability, accuracy, latency, and operational costs.• Develop testing and evaluation frameworks for agent behavior and output quality.• Implement guardrails, monitoring, validation, and safety controls for production AI systems.• Troubleshoot agent failures, hallucinations, tool-use errors, and workflow issues.• Optimize AI agents for scalability, reliability, maintainability, and performance.• Stay updated on emerging developments in LLMs, AI agents, foundation models, and automation technologies.• Collaborate with software engineers, AI researchers, data scientists, and product teams to deliver intelligent solutions.✅ Requirements• Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, Data Science, or a related field is preferred.• Previous experience with LLMs, Generative AI, AI agents, or machine learning is an advantage.• Strong programming skills in Python and familiarity with modern software development practices.• Solid understanding of LLMs, Natural Language Processing, and machine learning concepts.• Experience with LLM APIs, function calling, tool use, or agent-based architectures is an advantage.• Familiarity with frameworks such as LangChain, LangGraph, LlamaIndex, AutoGen, CrewAI, or similar technologies.• Knowledge of RAG, embeddings, vector databases, prompt engineering, and context management.• Understanding of APIs, databases, cloud services, and distributed application architectures.• Familiarity with Git, Docker, CI/CD, and cloud platforms is an advantage.• Strong analytical, debugging, experimentation, and problem-solving skills.• Ability to design reliable AI workflows and evaluate system behavior systematically.• Excellent written and verbal communication skills.• Strong interest in AI agents, Generative AI, automation, and emerging technologies.🌟 What We Offer• Hands-on experience building production-grade AI agent systems.• Exposure to LLMs, RAG, tool calling, intelligent automation, and multi-agent architectures.• Opportunities to work on innovative AI products and real-world automation solutions.• Career progression into Senior AI Agent Engineer, AI Engineer, LLM Engineer, Machine Learning Engineer, or AI Architect roles.• A highly innovative, collaborative, and technology-driven working environment.• Training, mentorship, and continuous professional development opportunities.• Opportunity to work with cutting-edge AI technologies and emerging agentic frameworks.• Competitive compensation with performance-based incentives.