Introduction
SymphonyAI is at the forefront of innovation, leveraging cutting-edge artificial intelligence and machine learning technologies to transform industries and drive business growth. As a global leader in AI-powered solutions, we empower organizations to harness the full potential of data-driven insights. SymphonyAI enterprise applications rapidly deliver transformative business value across retail, CPG, financial services, manufacturing, media, Enterprise IT (SymphonyAI Summit) and the public sector. SymphonyAI combines unrivalled AI technology, vertical expertise and industry-specific data and insights into applications that drive the highest value for customers. We are one of the largest and fastest growing AI portfolios. We are on a mission to build a World Class Engineering Team with a high-performance culture.
Responsibilities
Job Description
- Contribute to the design, development, and deployment of full stack applications using Vue.js and Go.
- Build scalable and maintainable features across front-end and back-end systems.
- Work with microservices-based architecture and support enhancements and optimizations.
- Assist in integrating APIs and, where applicable, LLM-driven capabilities into workflows.
- Collaborate closely with Product, Design, and DevOps teams to deliver high-quality features.
- Write clean, efficient, and well-tested code following best practices.
- Participate in code reviews and actively learn from peer feedback.
- Support deployment and monitoring of applications on Kubernetes environments.
- Troubleshoot issues and contribute to resolving production incidents.
- Stay updated with emerging technologies and continuously improve development skills.
Required Skills & Qualifications
- 2-4 years of hands-on experience in full stack development.
- Good proficiency in Vue.js (or similar modern JS frameworks).
- Working experience with Go (Golang) or strong willingness to learn.
- Basic understanding of microservices architecture and distributed systems.
- Exposure to Kubernetes or container-based deployments is a plus.
- Familiarity with REST APIs and backend development concepts.
- Strong problem-solving skills and eagerness to learn.
- Good communication skills and ability to work in a collaborative environment.
- Bachelor's degree in Computer Science or a related field.
Preferred Skills
- Exposure to LLMs or AI-based integrations (even academic/projects level is fine).
- Familiarity with cloud platforms (AWS, GCP, or Azure).
- Understanding of CI/CD pipelines and basic DevOps practices.
- Experience working in fast-paced product or startup environments.
