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Full Stack AI Lead Developer

Jabil Circuit -
Remote

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Job details

Full-time

Qualifications

Cloud infrastructure
Kubernetes
Full-stack development
DevOps
Supply chain
Driving Licence
Databases
SQL
AWS
Docker
Bachelor's degree
PostgreSQL
REST
Computer networking
APIs
Linux
Lean Six Sigma
Manufacturing
AI
Python

Full job description

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.

Job Responsibilities

End-to-End AI Application Development: Design, build, and deploy full-stack artificial intelligence applications from the ground up, seamlessly connecting robust backend AI services with responsive, user-friendly frontends.
AI Model Integration & Orchestration: Integrate Large Language Models (LLMs), local model pipelines, vector databases, and multi-agent orchestration frameworks (such as RAG architectures) into production-ready software systems.
Database Architecture & Performance Optimization: Architect, query, and optimize complex relational databases ( PostgreSQL preferred ), writing advanced SQL queries, multi-table joins, cursors, and stored procedures to guarantee high-performance data retrieval and storage.
Backend Engineering & APIs: Develop high-performance, asynchronous backend services, RESTful APIs, and data ingestion pipelines primarily using Python to handle real-time data streaming and complex business logic.
UI/UX & Dashboard Development: Build intuitive, responsive user interfaces and real-time operational dashboards using modern web frameworks to enable seamless human-AI interaction and telemetry visualization.
Containerization & DevOps: Package applications using Docker and manage deployment, scaling, and cluster coordination using Kubernetes to ensure enterprise-grade reliability and fault tolerance.
Cloud & Infrastructure Management: Provision, configure, and optimize cloud resources (primarily AWS ) and high-performance computing environments (including GPU clusters) to support heavy AI workloads.
Linux System Operations: Operate effectively within Linux environments, utilizing advanced shell utilities, system monitoring, and performance tuning for backend stability.
Team Mentorship & Onboarding: Actively mentor, train, and guide junior developers and team members under your purview, rapidly bringing them up to speed on technical frameworks, coding standards, and best practices.
Stakeholder Communication & Live Demos: Communicate effectively with diverse internal and external stakeholders, translating complex technical concepts into clear business value, and confidently conduct live, end-to-end software and AI application demonstrations.
Quality & Continuous Improvement: Apply a quality-first mindset (incorporating principles like Lean Six Sigma where applicable) to debug issues, optimize system latency, automate testing, and ensure high reliability.
Technology Exploration & Innovation: Stay on the cutting edge of AI advancements, rapidly evaluating, prototyping, and integrating emerging open-source tools, frameworks, and model updates into the enterprise stack.

Desired Criteria :

We are looking for a candidate who combines deep technical expertise with a strong quality-first mindset. Specifically, the ideal candidate should have hands-on experience with:

Core Technical Stack: Advanced Python development, AWS cloud infrastructure, and enterprise Linux administration.

DevOps & Deployment: Expertise in containerization (Docker) and orchestration (Kubernetes) for large-scale enterprise deployments.

AI & Innovation: Proven ability to build and deploy modern AI solutions (Multi-agent systems, RAG) and a passion for quickly adopting emerging technologies.

Quality & Process: A background in Lean Six Sigma and other quality tools to ensure operational excellence and high-reliability software.

BE AWARE OF FRAUD: When applying for a job at Jabil you will be contacted via correspondence through our official job portal with a jabil.com e-mail address; direct phone call from a member of the Jabil team; or direct e-mail with a jabil.com e-mail address. Jabil does not request payments for interviews or at any other point during the hiring process. Jabil will not ask for your personal identifying information such as a social security number, birth certificate, financial institution, driver’s license number or passport information over the phone or via e-mail. If you believe you are a victim of identity theft, contact your local police department. Any scam job listings should be reported to whatever website it was posted in.

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.

Accessibility Accommodation

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 [email protected] with the nature of your request and contact information. Please do not direct any other general employment related questions to this e-mail. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to.

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