Software Engineer (Full Stack AI)

As a highly motivated Software Engineer Full Stack AI, your role will involve designing, developing, and deploying intelligent software solutions. You will utilize your strong full-stack development skills and hands-on experience with AI technologies to independently build products from concept to production. Your responsibilities will include: - Designing, developing, and maintaining web applications, internal tools, and business software. - Building scalable frontend and backend systems using modern development frameworks. - Developing and integrating APIs, third-party services, and enterprise systems. - Designing and managing databases to ensure performance, reliability, and scalability. - Building AI-powered applications utilizing LLMs, agents, automation workflows, and AI APIs. - Collaborating with stakeholders to translate business requirements into technical solutions. - Deploying, monitoring, and maintaining applications in production environments. - Leveraging AI-assisted development tools to enhance productivity and software quality. - Continuously evaluating emerging technologies and recommending innovative solutions. Your required skills and qualifications include: - Strong proficiency in Python and JavaScript/TypeScript. - Experience with full-stack development encompassing frontend, backend, APIs, and databases. - Hands-on experience with SQL databases and database design principles. - Experience in building applications using AI/ML technologies like LLMs, AI agents, and workflow automation. - Understanding of data science and machine learning fundamentals. - Experience in integrating external APIs and services. - Strong problem-solving skills with the ability to work independently. - Capability to design, build, test, deploy, and maintain products end-to-end. Additionally, preferred qualifications for this role may include: - Experience with Computer Vision applications. - Experience with IoT devices and hardware integrations. - Knowledge of cloud platforms such as AWS, Azure, or Google Cloud. - Familiarity with containerization and deployment tools like Docker, Kubernetes, etc. - Experience in working in startup or quick-paced product environments. The company is seeking a candidate who is a builder, enjoys turning ideas into working products, is comfortable working across the entire technology stack, is a proactive problem-solver who can operate with minimal supervision, embraces AI-assisted development, continuously explores new technologies, and possesses a strong ownership mindset with a focus on delivering business impact. As a highly motivated Software Engineer Full Stack AI, your role will involve designing, developing, and deploying intelligent software solutions. You will utilize your strong full-stack development skills and hands-on experience with AI technologies to independently build products from concept to production. Your responsibilities will include: - Designing, developing, and maintaining web applications, internal tools, and business software. - Building scalable frontend and backend systems using modern development frameworks. - Developing and integrating APIs, third-party services, and enterprise systems. - Designing and managing databases to ensure performance, reliability, and scalability. - Building AI-powered applications utilizing LLMs, agents, automation workflows, and AI APIs. - Collaborating with stakeholders to translate business requirements into technical solutions. - Deploying, monitoring, and maintaining applications in production environments. - Leveraging AI-assisted development tools to enhance productivity and software quality. - Continuously evaluating emerging technologies and recommending innovative solutions. Your required skills and qualifications include: - Strong proficiency in Python and JavaScript/TypeScript. - Experience with full-stack development encompassing frontend, backend, APIs, and databases. - Hands-on experience with SQL databases and database design principles. - Experience in building applications using AI/ML technologies like LLMs, AI agents, and workflow automation. - Understanding of data science and machine learning fundamentals. - Experience in integrating external APIs and services. - Strong problem-solving skills with the ability to work independently. - Capability to design, build, test, deploy, and maintain products end-to-end. Additionally, preferred qualifications for this role may include: - Experience with Computer Vision applications. - Experience with IoT devices and hardware integrations. - Knowledge of cloud platforms such as AWS, Azure, or Google Cloud. - Familiarity with containerization and deployment tools like Docker, Kubernetes, etc. - Experience in working in startup or quick-paced product environments. The company is seeking a candidate who is a builder, enjoys turning ideas into working products, is comfortable working across the entire technology stack, is a proactive problem-solver who can o