AI-Powered Full-Stack Engineer (Python/Java)

Jabil; Saint Petersburg (FL); On-site; USD 100,000 - 180,000; Full time

Benefits offered by this job

Medical Insurance

401K Match

Stock Purchase Plan

Paid Time Off

Tuition Reimbursement

Parental Leave

Job summary

Jabil is seeking a seasoned Python & Java Full Stack Developer (AI-Capabilities) to build AI-assisted platforms for manufacturing tests and debug automation. You will own features across cloud, back-end microservices, LLM pipelines, and an Angular frontend for multi-site manufacturing operations.

The role demands precise requirement definition, rigorous validation of agent outputs, and hands-on coding. Expect a technically deep environment with AWS, serverless, and modern APIs.

Qualifications

• BS degree in Computer Engineering or Computer Science or related field.
• MS preferred for advanced roles.
• 10+ years of software development experience.

Responsibilities

• Design, build, and ship end-to-end features across AWS, Python and Java backends, and Angular frontend.
• Develop agentic AI workflows and integrate with Amazon Bedrock.
• Implement tool calls, RAG, prompts, and validation loops with production-grade quality.
• Own two ecosystems of backend services with REST and event-driven APIs, ensuring idempotency and retries.
• Define infrastructure as code with AWS CDK across multi-stack deployments.
• Maintain backwards-compatible API surfaces and robust observability.

Skills

Python

Java

Full Stack

AWS

Angular

LLMs

AI tooling

CI/CD

Education

BS in Computer Engineering or CS

MS preferred

Tools

Spring Boot

Quarkus

OpenSearch

DynamoDB

S3/SQS

AWS CDK

Job description

Jabil is seeking a seasoned Python & Java Full Stack Developer (AI-Capabilities) to build AI-assisted platforms for manufacturing tests and debug automation. You will own features across cloud, back-end microservices, LLM pipelines, and an Angular frontend for multi-site manufacturing operations.

The role demands precise requirement definition, rigorous validation of agent outputs, and hands-on coding. Expect a technically deep environment with AWS, serverless, and modern APIs.