Senior Full Stack Developer

3 weeks ago

Bengaluru, India Metawurks Full time

Job Title: Senior Full Stack Developer (RAG-based AI Application Development)Experience: 5-8 YearsJob Description:We are seeking a highly skilled and experienced Senior Full Stack Developer with a strong background in developing Retrieval-Augmented Generation (RAG) based AI applications. The ideal candidate will have 5-8 years of hands-on experience in full stack development, with a proven track record of building, deploying, and maintaining advanced AI-driven solutions. You will work closely with data scientists, AI engineers, and product teams to design and implement scalable, robust, and high-performance applications that leverage the latest advancements in RAG and generative AI.Key Responsibilities:- Design, develop, and maintain end-to-end web applications with a focus on RAG-based AI solutions.- Collaborate with AI/ML engineers to integrate retrieval and generation models into production systems.- Architect scalable backend services and APIs to support AI-driven features.- Develop intuitive and responsive front-end interfaces using modern JavaScript frameworks (e.g., React, Angular, or Vue.js).- Optimize application performance, scalability, and security.- Implement best practices for code quality, testing, and continuous integration/deployment (CI/CD).- Mentor junior developers and participate in code reviews.- Stay up-to-date with the latest trends in AI, RAG, and full stack development.Required Skills & Qualifications:- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.- 5-8 years of professional experience as a Full Stack Developer.- Strong proficiency in backend technologies (e.g., Node.js, Python, Java, or Go).- Experience with frontend frameworks (e.g., React, Angular, Vue.js).- Deep understanding of RAG (Retrieval-Augmented Generation) architectures and their application in AI systems.- Hands-on experience integrating LLMs (e.g., OpenAI GPT, Llama, etc.) with retrieval mechanisms (e.g., vector databases, Elasticsearch, Pinecone, FAISS).- Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).- Experience with RESTful and GraphQL APIs.- Strong knowledge of database systems (SQL and NoSQL).- Excellent problem-solving, communication, and teamwork skills.Preferred Qualifications:- Experience with MLOps tools and workflows.- Familiarity with data pipelines and ETL processes.- Prior experience in deploying and scaling AI/ML models in production environments.- Contributions to open-source AI or RAG projects.

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