Fullstack AI Engineer

Job Requirements – Fullstack AI Developer

• Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field.
• Minimum 2 years of professional experience as a Fullstack Developer, AI Developer, or in a similar software engineering role.
• Strong proficiency in frontend technologies such as React.js, Next.js, Vue.js, or Angular , along with HTML5, CSS3, and JavaScript/TypeScript.
• Solid experience in backend development using Node.js, Python, Java, or Go , with the ability to build scalable RESTful APIs.
• Hands-on experience integrating and working with Large Language Models (LLMs) such as OpenAI GPT, Claude, Gemini, or open-source models (e.g., Llama, Mistral).
• Experience with AI frameworks and libraries such as LangChain, LlamaIndex, Hugging Face, or similar .
• Familiarity with Retrieval-Augmented Generation (RAG), prompt engineering, AI agents, vector databases (e.g., Pinecone, Weaviate, Chroma, Milvus), and semantic search is highly preferred.
• Experience working with relational and NoSQL databases such as PostgreSQL, MySQL, MongoDB, or Redis.
• Familiarity with cloud platforms such as AWS, Google Cloud Platform (GCP), or Microsoft Azure.
• Experience with Docker, Git, CI/CD pipelines, and modern software development best practices.
• Understanding of authentication, authorization, API security, and web application security principles.
• Strong analytical and problem-solving skills with the ability to troubleshoot complex technical issues.
• Excellent communication skills and the ability to collaborate effectively within cross-functional teams.
• Experience working in Agile/Scrum environments is a plus.
• Passion for AI technologies and willingness to continuously learn and adapt to emerging tools and frameworks.