GenAI Developer
At a glance
Mid-level AI Engineering role at Jabil. Penang · full-time.
Pay not stated AI Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build chatbots, AI assistants and agents that automate business, operations and IT workflows
- Connect AWS services with internal systems, APIs and enterprise applications to run end-to-end automations
- Tune prompts and foundation models, and create retrieval-based pipelines that ground AI responses in knowledge
- Write maintainable Python or JavaScript/TypeScript code and automate releases through CI/CD pipelines
- Gather needs from business stakeholders and coordinate implementation with data, cloud and operations teams
What you bring
- Hands-on experience creating chatbots, AI agents or automated workflows
- Working knowledge of AWS AI services and services such as Lambda, API Gateway, S3 or SQS
- Proficiency in Python or JavaScript/TypeScript, plus an understanding of REST APIs, JSON and cloud-native design
- Experience with n8n or Rasa, and the ability to engage stakeholders and work independently or in an agile team
Who this fits
This role suits a developer who can turn business needs into AI applications and workflow automations, then work across technical and business teams to deliver them. Manufacturing experience and familiarity with MES, ERP, quality or supply-chain workflows are preferred.
From the employer
About the Role
We are looking for a highly motivated GenAI Developer to design, build, and deploy AI-powered chatbot solutions and agentic workflow automations within our enterprise environment. The ideal candidate has hands-on experience using AWS AI services, open-source GenAI tools, and modern application development practices. Experience in a manufacturing environment is an added advantage.
Key Responsibilities
AI Application Development
- Develop and implement GenAI-driven chatbots, AI assistants, and automation agents using AWS Bedrock, Amazon Q Business, Amazon QuickSuite, and related AI services.
- Build agentic workflow automation for business processes, operations, and IT services.
Workflow Automation & Integration
- Design end-to-end automation using AWS services including Lambda, API Gateway, S3, and SQS.
- Build custom integrations with internal systems, APIs, and enterprise applications.
AI Models & Frameworks
- Perform prompt engineering, model evaluation, and optimization for foundation models.
- Implement knowledge-grounded pipelines such as RAG (Retrieval-Augmented Generation).
Software Engineering & Deployment
- Develop clean, maintainable, and scalable code in Python or JavaScript/TypeScript.
- Use CI/CD pipelines (Azure DevOps Pipeline, AWS CodePipeline) to automate deployments.
Cross-Functional Collaboration
- Work with business stakeholders to collect requirements and convert them into AI solutions.
- Collaborate with data engineering, cloud, and operations teams to ensure smooth implementation.
Required Qualifications
Technical Skills
- Experience building chatbots, AI agents, or automation workflows.
- Familiarity with AWS AI/ML services such as:
- Amazon Bedrock
- Amazon Q Business
- Amazon QuickSuite
- AWS Lambda, API Gateway, S3, RDS, SQS
- Proficiency in Python or JavaScript/TypeScript.
- Understanding of REST APIs, JSON, and cloud-native architectures.
Open‑Source Tools (Transferrable skills)
- AI Workflow Automation: Experience with n8n, a popular open-source workflow automation platform supporting node-based workflows and AI integration.
- Chatbot Development: Experience with Rasa, a leading open-source conversational AI framework for building contextual chatbots.
Soft Skills
- Strong analytical and problem‑solving abilities.
- Good communication skills and stakeholder engagement.
- Ability to work independently and within an agile team.
Preferred Qualifications
- Experience working in a manufacturing company or with shop-floor/operations systems.
- Familiarity with MES, ERP, QMS, or supply chain workflows.
- Experience with vector databases, LLMOps tools, or data preprocessing pipelines.
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