We are seeking a highly skilled and experienced full-stack developer to join our team. As a Sr. FullStack developer you will be responsible for architecting, developing and enhancing all components of our SAAS solution.
**In this position, you will work in a hybrid model, which means you will spend two days at the office and three days working from home.**
What will you do?
Designing and developing our AppSec SAAS Platform from concept to deployment.
Collaborating with cross-functional teams to gather requirements and define project objectives.
Leading and championing proof-of-concept initiatives focused on artificial intelligence empowerment, demonstrating the feasibility and value of GenAI solutions for business challenges.
Developing efficient and reliable FE and backend systems using React, Go, Java and other related technologies.
Owning and Leading proof-of-concept initiatives focused on artificial intelligence empowering, demonstrating the feasibility and value of AI solutions for business challenges.
Optimizing application performance and ensuring scalability and reliability.
Creating and maintaining databases, writing efficient queries, and ensuring data integrity.
Conducting thorough testing and debugging to identify and resolve issues.
Collaborating with other developers and participating in code reviews to maintain code quality and best practices.
Staying up to date with emerging technologies and trends in software development especially focusing on GenAI.
Requirements: Requirements - Must:
5+ years of experience in software development, with a focus on Java
5+ React, TypeScript, Material UI.
Solid understanding of databases, including SQL and NoSQL technologies, and experience in writing efficient queries.
Familiarity with agile development methodologies and practices.
Ability to work independently as well as collaboratively in a team environment.
Strong problem-solving and analytical skills.
Excellent communication and interpersonal skills.
Preferred Skills:
Extensive experience with GenAI models including GPT, Claude, Llama, and other large language models.
Hands-on experience building AI agents and implementing multi-agent systems.
Knowledge of AI/ML protocols and frameworks
Experience with vector databases and retrieval-augmented generation (RAG) implementations.
Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
Knowledge of containerization and orchestration tools like Docker and Kubernetes.
Familiarity with DevOps practices and CI/CD pipelines.
Understanding of security best practices in software development.
This position is open to all candidates.