Simpliigence - Full Stack Lead
Simpliigence
Key Responsibilities : - Lead the design and development of end-to-end full-stack applications with AI capabilities.- Architect scalable and maintainable frontend and backend solutions.- Develop responsive and high-performance user interfaces using modern frontend technologies.- Design and develop robust backend services, APIs, and microservices.- Integrate AI/ML and Generative AI capabilities into business applications.- Work with LLM APIs, AI services, embeddings, RAG, and intelligent application workflows.- Design APIs and services for seamless integration between AI components and enterprise applications.- Lead technical design discussions, architecture reviews, and solution decisions.- Ensure application scalability, performance, security, reliability, and maintainability.- Conduct code reviews and establish engineering best practices.- Identify technical risks and drive resolution of complex engineering challenges.- Mentor and guide developers and contribute to team capability building.- Collaborate with product managers, UI/UX teams, data engineers, AI/ML engineers, and other stakeholders.- Drive POCs and evaluate emerging AI and software development technologies.- Monitor production applications and troubleshoot performance and reliability issues.- Contribute to CI/CD, DevOps, automated testing, and deployment practices.Required Skills : - 5 to 10 years of experience in full-stack software development.- Strong proficiency in frontend technologies such as React.js, JavaScript/TypeScript, HTML, and CSS.- Strong backend development experience with Python, Java, Node.js, or similar technologies.- Strong understanding of REST APIs, microservices, databases, and distributed systems.- Hands-on experience integrating AI/ML or Generative AI capabilities into applications.- Knowledge of LLMs, prompt engineering, RAG, embeddings, vector databases, and AI APIs.- Experience with cloud-native application development and deployment.- Strong understanding of software architecture, design patterns, scalability, and application security.- Experience with Git, CI/CD, containerization, and modern development practices.- Strong debugging, problem-solving, communication, and technical leadership skills.Preferred Skills : - Experience building AI-powered enterprise applications.- Exposure to AI agents and agentic workflows.- Experience with Docker and Kubernetes.- Experience with cloud platforms and serverless architectures.- Knowledge of MLOps or AI application monitoring.- Experience working in Agile development environments. (ref:hirist.tech)
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