Highly Skilled Web Architect
4 days ago
We are seeking a highly skilled Senior Full Stack Engineer to join our dynamic team.
A modern Digital Adoption and Execution Platform empowers mid-size and enterprise SaaS companies to increase user adoption, reduce onboarding friction, and drive faster time-to-value across their product suites. In this role, you will design, develop, and maintain scalable web applications integrating large language models (LLMs) and AI agents into both frontend and backend systems.
You will collaborate with product managers, designers, data scientists, and fellow engineers to deliver innovative, high-quality solutions that leverage the latest advances in artificial intelligence.
Key Responsibilities:
- Full Stack Development: Design, develop, and maintain robust web applications ensuring seamless integration between frontend and backend components.
- AI & LLM Integration: Integrate large language models and AI agents into applications to enhance functionality, automation, and user experience.
- API Development: Build and maintain efficient RESTful APIs and/or GraphQL endpoints for AI-powered features and services.
- Database Management: Design and manage both relational and NoSQL databases to support AI-driven data workflows.
- Collaboration: Work closely with frontend developers, data scientists, and other stakeholders to deliver innovative, AI-centric solutions.
- Code Review & Testing: Conduct code reviews, write unit and integration tests, and ensure code quality and performance.
- Mentorship: Mentor junior engineers and share knowledge on AI integration, best practices, and modern development tools.
- Continuous Improvement: Stay updated with emerging AI technologies, frameworks, and industry trends, and drive the adoption of best practices.
Qualifications:
Technical Skills:
- 5+ years of experience in full stack web development
- Proficiency in frontend frameworks such as React JS
- Strong backend development experience with Node.js, Python
- Hands-on experience integrating large language models (e.g., GPT-3, BERT) or similar AI technologies
- Experience with RESTful APIs, GraphQL, and microservices architecture
- Solid understanding of relational and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB)
- Familiarity with cloud platforms (AWS, Azure, or GCP) and DevOps practices
- Experience with version control systems (e.g., Git) and CI/CD pipelines
Soft Skills:
- Excellent problem-solving and analytical skills
- Strong communication and collaboration abilities
- Ability to work independently and manage multiple priorities in a fast-paced environment
The ideal candidate has a solid foundation in AI-driven technologies and can effectively communicate ideas through technical writing and presentations.
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