Full Stack AI Engineer only w2 and weekend interview

Job Type Contract JD Job Summary We are seeking a highly skilled and innovative Full Stack AI Developer to design, develop, and deploy intelligent, scalable applications that leverage modern AI/ML capabilities. This role combines deep full stack engineering expertise with hands‑on experience integrating AI models into enterprise‑grade systems. The ideal candidate thrives in a fast‑paced environment, collaborates with cross‑functional teams, and plays a key role in delivering AI‑driven solutions that enhance business processes, decision‑making, and user experiences. Responsibility Full Stack Development Design and develop end‑to‑end applications across frontend, backend, and data layers Build responsive, scalable user interfaces and APIs to support AI‑powered features AI/ML Integration Integrate Large Language Models (LLMs) and machine learning models into applications Develop workflows that leverage AI for tasks such as summarization, classification, evaluation, and automation Collaborate with data scientists to operationalize models in production Develop and maintain APIs, microservices, and data pipelines Design and manage data storage solutions (e.g., relational and NoSQL databases such as MongoDB) Architect scalable, secure solutions across cloud platforms (e.g., Azure, AWS) Ensure integration between UI, APIs, and AI services AI‑Oriented Application Design Implement orchestration layers that manage AI prompts, workflows, and results Enable features such as requirement extraction, evaluation, and insights generation Work with product managers, business stakeholders, and UX teams to gather requirements Participate in full SDLC including design, development, testing, and deployment Ensure code quality, security compliance, and best practices Required Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, or related field 5+ years of experience in full stack software development Strong proficiency in: Frontend: React, Angular, or Vue.js Backend: Node.js, Java, Python, or similar API development and microservices architecture Experience with AI/ML technologies: Working with LLM APIs (e.g., OpenAI, Azure OpenAI, etc.) Experience with databases and data engineering: SQL and NoSQL (e.g., MongoDB, PostgreSQL) Data modeling and processing pipelines Familiarity with cloud platforms (Azure preferred), DevOps, and CI/CD Preferred Qualifications Experience building enterprise AI applications (e.g., recruiting tools, evaluation systems, chatbots) Knowledge of prompt engineering and AI orchestration frameworks Experience with containerization (Docker, Kubernetes) Exposure to security, compliance, and governance in AI systems Strong problem‑solving and analytical skills Ability to translate business requirements into scalable technical solutions Excellent communication and stakeholder management skills Passion for innovation and emerging AI technologies #J-18808-Ljbffr Ampstek