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Jabil in the United States is seeking a Python & Java Full Stack Developer (AI-Capabilities) to build AI-assisted platforms for manufacturing tests and debug automation with real-world impact on the factory floor.
You will design end-to-end solutions across AWS, Python and Java backends, an Angular frontend, and agentic LLM workflows, balancing AI tools with careful coding and rigorous validation.
At Jabil (NYSE: JBL), we are proud to be a trusted partner for the world's top brands, offering comprehensive engineering, supply chain, and manufacturing solutions. With 60 years of experience across industries and a vast network of over 100 sites worldwide, Jabil combines global reach with local expertise to deliver both scalable and customized solutions. Our commitment extends beyond business success as we strive to build sustainable processes that minimize environmental impact and foster vibrant and diverse communities around the globe.
As the Python & Java Full Stack Developer (AI-Capabilities), you will build AI-assisted platforms for manufacturing tests and debug automation software with direct, real-world consequences on the factory floor.
LLMs are a core building block of what we build, and AI coding agents are a core part of how we build it but we treat them as power tools operated by strong engineers, not autopilots.
This role requires someone who can define work with precision, critically evaluate agent-generated output, and write code themselves when needed.
As the Python & Java Full Stack Developer (AI-Capabilities), you are equally comfortable writing a Python Lambda handler, designing an agent tool, building a Java microservice, defining infrastructure as code, tuning a message-bus consumer, and building an Angular component with an AI agent working alongside you.
We use AI coding agents Claude, Kiro, and similar agentic IDEs/CLIs (we use Kiro) but as power tools in the hands of engineers who could do the work without them. We are seeking a passionate developer who has experienced building without AI, understands its capabilities and limitations, and knows when to rely on AI versus writing code themselves. The challenge isn’t generating code. It’s defining requirements precisely and rigorously validating the output. You can read, debug, and correct generated code as readily as you can produce it, and you can justify an architectural decision independent of what any tool suggested.
Design, build, and ship feature end-to-end across the full stack AWS infrastructure, Python and Java backend services, agentic LLM workflows, and the Angular frontend for a system serving manufacturing across multiple sites. Build and evolve agentic AI workflows on Amazon Bedrock. (LLM reasoning + embeddings): tool/function calling, RAG, prompts, validation loops, and fallback strategies that stay correct and observable under production load Own backend services across two ecosystems Python serverless (Lambda, event-driven) and Java microservices (Spring Boot/Quarkus) with REST and event-driven APIs, persistence, async pipelines, and message-bus integrations Care for idempotency, retries, and dead-letter handling throughout Define and evolve infrastructure as code (AWS CDK) across multi-stack deployments with cross-stack references. Treat published API surfaces as backwards-compatibility contracts, using shared interface/schema libraries consumed across services and clients. Develop retrieval and scoring logic: log chunking, embeddings, vector/semantic search in OpenSearch, and relevance ranking Instrument with CloudWatch dashboards, alarms, tracing, structured diagnostic events and own CI/CD on Azure DevOps with gated, reversible rollouts. Contribute to shared foundational code with wide blast radius, keeping changes narrow and well-tested.
Python Modern typing, async patterns, data validation (e.g., Pydantic), clean error handling, and a codebase-scale sense of structure. Backend Engineering in Java Deep experience with Spring Boot and/or Quarkus, clean architecture, and idiomatic use of the type system. Production AWS serverless and cloud experience across the stack: Compute Lambda ECS Fargate Data & Messaging DynamoDB S3 SQS OpenSearch Networking VPC VPC Endpoints API Gateway (Private) Eventing & Scheduling EventBridge Security & Identity IAM IAM Roles Anywhere (trust anchor, cross-environment access) AI Amazon Bedrock Ops & Config CloudWatch (alarms + dashboards) SSM Parameter Store ECR assets Persistence Expertise JPA / Hibernate JDBC transaction management NoSQL data modeling (DynamoDB access patterns), and relational database design, management, and query optimization API Design Production REST services; comfortable with versioning and backwards-compatibility. Modern Concurrency Java virtual threads (Project Loom) and reasoning clearly about concurrency correctness. Microservices & Event-Driven Architecture Designing and operating microservices with a message bus (NATS.io, Kafka, SQS, or similar), including idempotency, retries, and failure handling. Hands-on LLM/agent Development Building applications with LLMs (function calling, prompt design, RAG, embeddings) and evaluating output quality. You understand that specifying and validating agent behavior is the hard part. AI-assisted development Practice Daily, judicious use of AI coding agents (Claude, Kiro, etc.), spec-driven workflows, and reusable agent skills/powers, paired with the fundamentals to review their output critically. Frontend Development in Angular Building and maintaining a modern web UI (Angular/TypeScript) that consumes these APIs. Testing Discipline Unit, integration, and mocking as a first-class part of shipping. Containerization & Orchestration Docker and Docker Swarm Kubernetes Cloud-Native Workflow Git Azure DevOps pipelines and code review in a sizable multi-repo codebase Deployment Strategies Blue/green, canary, gated rollout, and rollback Observability, Security & Analytics Structured logging, tracing, metrics; secure coding and auth fundamentals; and building/consuming analytics on operational data.
BS degree in Computer Engineering, Computer Science or related field MS preferred
The pay range for this role is $100,100 - $180,200. Job-related, non-discriminatory factors used to determine the actual offered rate include qualifications and experience, geographic location, education, external market data, and consideration of internal equity.
The anticipated close date of this job requisition is: October 06, 2026.
As part of the total rewards package, this position is eligible for a short-term incentive based on performance. In addition, Jabil offers benefits to enhance your health, wealth, and resilient self. These include medical, dental, and vision insurance plans; paid time off accruing at a rate of 3.07 hours during your first year of employment; 4 weeks of paid parental leave; in 2027, 11 company-paid holidays (9 fixed holidays and 2 optional floating holidays), subject to change yearly; 401(k) retirement plan; and employee stock purchase plan.
If you are a qualified individual with a disability, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access Jabil.com/Careers site as a result of your disability. You can request a reasonable accommodation by sending an e-mail to Always\_Accessible@Jabil.com or calling 727-803-7988 with the nature of your request and contact information. Please do not direct any other general employment related questions to this e-mail or phone number. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to.
Jabil, including its subsidiaries, is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, age, disability, genetic information, veteran status, or any other characteristic protected by law.
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