Senior Programmer - AI Applications & Full Stack Development

Job Summary We are seeking an experienced and hands-on Senior Programmer to develop and deliver AI-enabled software applications and product features. The role requires strong software engineering skills across full-stack development, AI integration, and modern application development practices. The successful candidate will be responsible for developing complex application components, implementing AI capabilities, contributing to solution design, and supporting the delivery of scalable, secure, and high-quality software products under the guidance of the Lead AI Architect / Tech Lead. K ey Responsibilities Design, develop, test, and maintain complex software components across the full technology stack, including backend services, APIs, databases, and frontend applications. Develop and integrate AI capabilities such as intelligent agents, Small Language Models (SLMs), Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), image recognition, OCR, and other AI/ML components. Implement scalable, secure, and maintainable software solutions in accordance with established architecture and engineering standards. Contribute to technical design discussions, troubleshoot complex technical issues, and support solution implementation. Produce high-quality, well-tested code, participate in code reviews, and support CI/CD, automated testing, and engineering best practices. Collaborate with the Lead AI Architect, product teams, and other developers to deliver high-quality software and mentor junior team members where appropriate. Required Skills & Experience Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related discipline. 4 to 5 years of software development experience, including experience developing enterprise or AI-enabled applications. Strong proficiency in Python and experience with modern full-stack technologies (e.g., React, Node.js, FastAPI, Java/Spring Boot, or similar frameworks). Experience integrating LLMs, SLMs, AI agents, RAG, prompt engineering, and computer vision/image recognition into software applications. Experience with AI frameworks and tools such as PyTorch, TensorFlow, Hugging Face, LangChain, or LlamaIndex. Experience with cloud platforms (AWS, Azure, or GCP), containerization (Docker/Kubernetes), CI/CD pipelines, and relational, NoSQL, and vector databases. Good understanding of software architecture, microservices, API design, secure application development, and software engineering best practices. Strong analytical, problem-solving, communication, and teamwork skills.