Full Stack Engineer (AI/ML Focus)

Full Stack Engineer (AI/ML Focus) Introduction We are looking for a highly skilled Full Stack Engineer with strong experience in AI/ML-driven environments. This role requires a balanced skill set across backend (Python, REST APIs) and frontend (Angular) development. The ideal candidate will have hands-on experience building scalable applications, integrating AI/ML models, and working within modern cloud-based architectures. Responsibilities Design and develop scalable full stack applications with strong backend and frontend components Build and integrate AI/ML-driven solutions into enterprise systems Develop and maintain RESTful APIs and microservices Work with cross-functional teams to deliver high-quality, data-driven solutions Ensure application performance, scalability, and reliability Participate in code reviews, testing, and continuous improvement initiatives Requirements Required Skills (Must Have) Experience working in an AI/ML-focused team or environment Strong full stack expertise with a 50/50 split across:

Backend:

Python, REST API development

Frontend:

Angular Proven experience in full stack development delivering scalable, high-quality applications Strong proficiency in Python and SQL, with experience in deep data analysis across multiple databases Hands-on experience building and consuming REST APIs and working in microservices architecture Core Qualifications Solid experience developing web services using Python and/or Java Practical exposure to AI/ML models or their deployment/integration Experience working in Agile environments, following coding standards and CI/CD pipelines Strong collaboration skills in multi-developer teams

Technical Environment Cloud Platforms:

AWS, Microsoft Azure (preferred)

Messaging Systems:

RabbitMQ, Kafka, or Azure Service Bus Databases:

Snowflake, Oracle, PostgreSQL, or similar

Reporting Tools:

Power BI (nice to have) Preferred Skills Experience with testing frameworks/tools such as jUnit, Cucumber, Selenium Exposure to Site Reliability Engineering (SRE) practices, including Chaos Testing Experience designing and developing resilient cloud-native applications Familiarity with CI/CD pipelines and modern DevOps practices Soft Skills Strong analytical and problem-solving abilities Ability to understand complex business requirements and translate them into technical solutions Passion for learning and experimenting with new technologies and architectural patterns Excellent communication and teamwork skills If you re a full stack engineer with strong Python, Angular, and AI/ML exposure, this role offers the opportunity to work on cutting-edge, data-driven applications in a collaborative environment.