Full Stack Software Developer

Description

Job Summary: Design and implement scalable APIs, microservices, and interfaces; lead the full lifecycle of AI Agents; and develop innovative solutions using Machine Learning, Deep Learning, and LLMs. Key Highlights: 1. Lead the full lifecycle of AI Agents. 2. Develop and integrate AI components with classical ML and Deep Learning. 3. Explore and apply LLMs and Prompt Engineering for AI Agents. **Responsibilities:** * Design and implement scalable APIs and microservices in languages such as Python (FastAPI, Django, Flask), Node.js (Express.js, NestJS), or Java (Spring Boot). * Integrate and manage relational, non-relational, or vector databases for storing process data, action histories, and agent knowledge. * Develop and orchestrate serverless functions and containers to support agent logic and microservices. * Build intuitive and responsive web interfaces (using React, Angular, or Vue.js) and/or mobile interfaces (using React Native or Flutter). * Develop dashboards and visualization tools to monitor AI Agent performance, display insights, and enable human interaction. * AI Agent Cloud-Based Conception and Orchestration: * Lead the full lifecycle of AI Agents—from defining their objectives, perceptions, and actions, to implementation and large-scale orchestration. * Develop and integrate AI components using Classical Machine Learning (Anomaly Detection, Classification, Regression) and Deep Learning (Neural Networks, Time Series) to empower agents in decision-making and analysis. * Explore and apply Large Language Models (LLMs) and Prompt Engineering to enable AI Agents to interpret complex information, generate responses, communicate naturally, or automate report and summary generation. * Implement and refine Reinforcement Learning (RL) algorithms for agents that learn to optimize actions in dynamic and complex environments. * Actively utilize cloud-based AI platforms—such as AWS SageMaker, Azure Machine Learning, and/or Google AI Platform (Vertex AI)—for training, deploying, and managing AI models powering the agents. * Ensure code quality through unit, integration, and end-to-end testing. * Apply best practices in information security and data governance. * Maintain a proactive mindset toward AI ethics, pursuing transparent and auditable solutions. **Requirements:** * Bachelor’s degree in Computer Science, Software Engineering, Systems Analysis, or related fields. * Minimum of 5 years of experience as a Full Stack Developer, with a proven track record of delivering high-quality software. Preferably, at least 2 years of experience working with AI. * Strong proficiency in Python, Java (Spring Boot), Flutter, Kotlin, Swift, and experience with relevant web/backend frameworks. * Practical, proven experience with Machine Learning algorithms (classification, regression, time series) and Deep Learning (Neural Networks, LSTMs). * Ability to design, develop, and orchestrate AI Agents (rule-based, model-based, goal-oriented, and/or learning-based). * Hands-on experience with ML frameworks such as TensorFlow, PyTorch, and LangChain. * Familiarity with Large Language Models (LLMs) and Prompt Engineering. * Integration and use of LLM APIs (OpenAI, GPT, Anthropic). * Knowledge or experience in Reinforcement Learning is highly desirable. * Advanced experience with cloud computing, storage, database, and especially AI/ML services on AWS (e.g., SageMaker, Lambda, SQS/SNS, S3, EC2, RDS) and Azure (e.g., Azure Machine Learning, Azure Functions, Blob Storage, Azure SQL Database, Virtual Machines). * Proficiency in Docker and Kubernetes for deploying applications and AI models. * Experience with MLOps tools and practices (e.g., MLflow, Kubeflow, CI/CD for ML). * Experience with relational and non-relational databases, and vector databases. * Ability to analyze complex problems and propose innovative solutions. * Skill in collaborating effectively within agile, multidisciplinary teams. **Preferred Qualifications:** * Experience with real-time data processing (streaming). * Familiarity with Explainable AI (XAI) principles (tools such as SHAP). * Postgraduate education or relevant certifications in AI/ML or Cloud. * Experience with process automation platforms, using tools like n8n. * Prior experience with NVIDIA frameworks and Jetson Orin NX. Employment Type: Full-time Benefits: * Health insurance * Dental insurance * Education allowance * Free parking * Profit sharing * Life insurance * Meal voucher * Transportation voucher