Full Stack Developer, Artificial Intelligence

The Job:

You will join our agile squad, capable of delivering end-to-end solutions on cloud infrastructure.

You must have strong grasp of modern backend and frontend technologies, containerized deployments, and cloud-native architectures.

Familiarity with Generative AI and AWS Bedrock is a big plus.

The Role:

. Develop and maintain backend services using Python (FastAPI, boto3 SDK).

. Build responsive and dynamic user interfaces using React.js.

. Design, deploy, and maintain containerized applications on AWS ECS (Fargate).

. Manage databases using PostgreSQL, including schema design and optimization.

. Implement CI/CD pipelines and leverage DevOps tools for automated deployment.

. Work with a variety of AWS services including: S3, ECS Fargate, RDS, Systems Manager, and Secrets Manager, etc.

. Apply Generative AI principles including Retrieval-Augmented Generation (RAG) using AWS Bedrock and Bedrock Knowledge Bases.

. Translate business and technical requirements into functional and design specifications.

. Lead and mentor junior developers through code reviews and design discussions.

. Participate in user testing, triage issues, and implement bug fixes promptly.

. Contribute as an active member of a cross-functional Agile development team.

The Requirements:

. Strong experience in Python backend development (FastAPI, boto3).

. Proficient in React.js and modern JavaScript development.

. Solid understanding of Docker, container orchestration, and AWS ECS deployments.

. Experience with PostgreSQL or similar relational databases.

. Hands-on with DevOps practices, tools, and CI/CD pipeline setup.

. Proficient in cloud-native development using AWS Services.

. Experience with Generative AI concepts, RAG patterns, and AWS Bedrock.

. Strong analytical, problem-solving, and communication skills.

. Demonstrated leadership capabilities and experience mentoring junior team members.

. Ability to own projects end-to-end, from design to production support.

. Familiarity with infrastructure-as-code (e.g., Terraform, CloudFormation).

. Exposure to serverless frameworks and event-driven architectures.

. Knowledge of security best practices in cloud environments.

To Apply:

Please send your latest CV in word file to [Confidential Information]

Kindly indicate your availability, current and expected remuneration package.

We regret that only shortlisted candidates will be notified.

Quinnox Solutions Pte. Ltd. (License Number: 06C3126)

Registered EA Personnel (Reg. No.:R1111100)