Software Engineer – AI Platform (Full Stack or Backend)

Software Engineer – AI Platform (Full Stack or Backend)

Location:

Salary:

Company:

Key Responsibilities:

• Develop and maintain Python-based microservices and APIs (FastAPI preferred) to expose AI/ML functionality.

• Build data pipelines and orchestration logic connecting model outputs, inference runs, and biological datasets.

• Integrate with internal/external systems (AWS S3, SageMaker, Lambda, PostgreSQL, DynamoDB, BigQuery).

• Collaborate to containerize and deploy models using Docker, ECR, ECS or serverless infrastructure.

• Automate infrastructure and application deployment via CI/CD (GitHub Actions, CodePipeline).

• Monitor application health, implement robust logging and error-handling.

• Participate in sprint planning, peer code reviews, and documentation.

Minimum Qualifications:

• 3+ years of hands-on software engineering experience.

• Strong command of Python and backend frameworks (FastAPI preferred; Flask/Django acceptable).

• Solid understanding of REST APIs, containerization (Docker), and cloud-native development.

• Experience with version control, testing frameworks, and CI/CD workflows.

• Familiarity with at least one cloud platform (preferably AWS).

Preferred (Nice-to-Have) Skills:

• Experience with AI/ML model serving and production inference pipelines.

• Exposure to scientific computing or data-heavy domains (biotech, healthcare, research platforms).

• Familiarity with job schedulers (AWS Batch, Airflow, Step Functions).

• Basic knowledge of infrastructure-as-code (Terraform, CloudFormation).

• Exposure to front-end frameworks (React/Next.js) is a plus.