Description: About the Role The Artificial Intelligence market is in full expansion, and one of the most promising and innovative areas is the development of Autonomous AI Agents. These agents—capable of independently executing complex tasks—are redefining human–technology interaction, optimizing processes, and creating new business opportunities across sectors such as finance, healthcare, e-commerce, and customer support. We are seeking a visionary and highly qualified AI Engineer to join our team at the forefront of this revolution. You will be responsible for designing, developing, and implementing cutting-edge AI agents—not only solving complex problems but also interacting intelligently and securely with systems and users. This is a unique opportunity to work with frontier technologies—including Large Language Models (LLMs), orchestration frameworks, and advanced architectures—in a dynamic and collaborative environment. Key Responsibilities* Design and build AI-first architectures, integrating data pipelines, models, and APIs. * Develop and optimize machine learning and deep learning solutions using PyTorch, TensorFlow, or scikit-learn. * Implement AI functionalities in backend services using Python, JavaScript, or TypeScript (including frameworks such as FastAPI, Express, or NestJS). * Collaborate with DevOps/CloudOps teams to deploy solutions on AWS and Oracle Cloud Infrastructure (OCI). * Apply MLOps principles—including model versioning, testing, evaluation, and continuous integration. * Work extensively with LLMs and Generative AI: prompt engineering, fine-tuning, embeddings, vector databases, and RAG (Retrieval-Augmented Generation). * Develop and orchestrate AI agents using frameworks such as CrewAI and Agnus. * Integrate and customize Dify workflows and MCP (Model Context Protocol) servers for AI-driven automation and interoperability. * Implement best practices for AI system security—including data loss prevention (DLP), prompt injection mitigation, context sanitization, and access control for LLMs. * Write clean, modular, and testable code—with strong documentation and strict adherence to engineering standards. Required Experience* Minimum of 5 years’ experience in software engineering, with a proven track record of delivering complex production systems. * At least 2 years’ focused experience in AI/ML development, with hands-on projects involving model development and deployment. * Proven experience building LLM-based systems—including use of APIs from OpenAI, Google AI, or Anthropic. * Experience designing RESTful APIs and backend microservices. * Experience developing agent-based systems or similar architectures—demonstrating ability to build solutions that go beyond simple chatbots or RAGs. * Experience handling data and feature engineering using pandas, NumPy, and SQL. Mandatory Technical Requirements* Programming Languages: Advanced proficiency in Python; strong knowledge of JavaScript and TypeScript. * AI and ML Frameworks: Proficiency with PyTorch, TensorFlow, scikit-learn; practical knowledge of LangChain, LlamaIndex, OpenAI, Hugging Face. * Agent Frameworks: Familiarity with CrewAI, Agnus, LangChain, LangGraph, Dify, and MCP servers. * Architecture and Systems: Solid understanding of software architecture, design patterns, and modular code design. * MLOps and Cloud: Understanding of MLOps and deployment workflows—including basic knowledge of AWS and Oracle OCI environments. * AI Security: Awareness of AI security techniques—including DLP, prompt injection prevention, context boundary reinforcement, and secure retrieval strategies. Interpersonal Skills* Clear Communication and Collaboration: Ability to explain complex technical concepts to diverse audiences and collaborate cross-functionally with data, product, and platform teams to deliver scalable, maintainable AI solutions. * Technical Documentation: Ability to write clear, concise, and comprehensive documentation for developed code and architecture. * Problem Solving and Analytical Thinking: Excellent skills to decompose complex problems, analyze alternative solutions, and implement the most effective one in a structured manner. * Curiosity and Continuous Learning: Passion for staying up-to-date with rapid advancements in AI—treating learning of new technologies and frameworks as a core part of the role. * Initiative and Autonomy: Proactive in identifying problems and opportunities, with capacity to independently drive projects from inception to completion. Nice-to-Have* Experience orchestrating multiple agents and autonomous AI pipelines. * Experience in computer vision, speech recognition, or multimodal AI. * Contributions to open-source AI projects or frameworks. * Knowledge of event-driven systems and scalable microservice design. * Experience in startup or innovation-oriented environments. Role Information* Hybrid work model. * PJ (Individual Contractor) engagement. Benefits* 30 days paid leave. * Totalpass. * Well-being program. * Telemedicine service. * Benefits clubs. * Birthday day-off. 2512300202491893101