Senior Software Engineer (Agentic) – AI & Workflow Automation
Salário Estimado
R$ 11.250,00 - R$ 13.750,00
Descrição da Vaga
Job Title: Senior Software Engineer (Agentic) – AI & Workflow Automation Job Type: Full-time Location: Remote - Australia About CloudBees CloudBees enables enterprises to deliver scalable, compliant, and secure software, empowering developers to do their best work.
Seamlessly integrating into any hybrid and heterogeneous environment, CloudBees is more than a tool—it's a strategic partner in your cloud transformation journey, ensuring security, compliance, and operational efficiency while enhancing the developer experience across your entire software development lifecycle.
It allows developers to bring and execute their code anywhere, providing greater flexibility and freedom through fast, self-serve, and secure workflows.
CloudBees supports organizations at every step of their DevSecOps journey, whether using Jenkins on-premise or transitioning software delivery to the cloud.
We’re helping customers build the future, today.
About the Role CloudBees is looking for a creative and technically sharp Software Engineer to help architect and prototype AI/ LLM-driven workflows that augment developer productivity.
This is a hands-on engineering role focused on building agentic flows using tools like Goose, Unify MCP, AWS Q, and Gemini.
If you thrive in ambiguity, love to prototype rapidly, and have a track record of shipping innovative ML/AI-powered features in startup environments, we want to talk.
As a member of the AI Stream Aligned team, this is a high-impact role that sits at the intersection of artificial intelligence and software delivery – ideal for someone passionate about pushing the boundaries of developer productivity and intelligent automation.
Key Responsibilities • Design, prototype, and test agentic workflows using platforms like Goose, Unify MCP, AWS Q, and Google Gemini.
Qualifications Required:
Preferred (not required):
Compensation & Benefits • Base Pay Range: AUD 135,000 – AUD 165,000 annually In accordance with applicable law, this represents a reasonable estimated compensation range for this role.
Actual compensation will be determined based on skills, experience, and geographic location and may be more or less than the amount shown above.
Outside of base compensation, CloudBees also offer stock options and variable bonuses. • What CloudBees Offers:
We celebrate diversity and are committed to creating an inclusive environment for all employees.
All employment decisions are made based on qualifications, merit, and business need, without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, veteran status, or any other protected characteristic as outlined by federal, state, or local laws.
Disclaimer This job description is intended to describe the general nature and level of work being performed.
It is not an exhaustive list of all duties, responsibilities, and qualifications required of employees assigned to this position.
Duties, responsibilities, and activities may change at any time with or without notice.
Requisitos
- 3 agentic systems, LLM
- 5+ years of hands-on experience in AI/ML engineering, LLM Ops,
- Proven knowledge & experience developing agentic flows with frameworks like (Langchain, CrewAI, Agno, or custom)
- Familiarity with prototyping and testing in environments with MCP enabled tools like Claude Desktop/Goose, AWS Q, and Gemini
- Experience designing and maintaining pipelines for ML models, workflows, or LLM agents
- Strong programming skills in Python, TypeScript,
- Comfortable working in cloud-native environments (AWS/GCP) and with DevOps pipelines (e.g., GitHub Actions, Argo)
- Startup experience or demonstrated ability to build fast, iterate quickly, and wear multiple hats
Responsabilidades
- It allows developers to bring and execute their code anywhere, providing greater flexibility and freedom through fast, self-serve, and secure workflows
- Design, prototype, and test agentic workflows using platforms like Goose, Unify MCP, AWS Q, and Google Gemini
- Build and iterate on AI-powered agents that can autonomously interact with systems, APIs, and developer tools
- Translate product concepts into working demos and scalable pipeline implementations
- Collaborate cross-functionally with product managers, ML engineers, and DevOps teams to refine user workflows
- Optimize agent behavior for reasoning, autonomy, reliability, and safety
- Contribute to ML pipeline development for deploying and monitoring agentic flows in production environments
- Document architectures and share learnings across the engineering org
Benefícios
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