Senior Director of Engineering leading the Unified Automation and Activations team at Salesforce. Responsible for shaping and executing the strategic vision for automation and agents driving business impact.
About the role
- Senior Software Engineer developing Agentic AI applications and collaborating with product management at Red Hat. Involved in coding, testing, and ensuring high code quality within AI/ML products.
Responsibilities
- Architect and develop a platform for Agentic AI applications.
- Collaborate with Staff Engineers, Engineering, Product Management, and User Experience to define customer needs and use cases.
- Collaborate with Quality Engineers to develop and implement comprehensive unit, integration, and end-to-end tests to guarantee the reliability and performance in the upstream project, maintaining CI/CD workflows in GitHub, and ensuring downstream quality.
- Participate in AI-assisted code reviews, utilizing tools that provide real-time feedback, identify potential bugs, security vulnerabilities, and adherence to coding standards, contributing to a more thorough and efficient review process.
- Proactively utilize AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude Code) for code generation, auto-completion, and intelligent suggestions to accelerate development cycles and enhance code quality.
- Create and maintain clear, concise upstream technical documentation including API references and user guides and collaborating with our internal tech writers to create robust downstream documentation.
Requirements
- 7+ years of intermediate to advanced Python development experience
- Experience with building agents, agentic workflows, or developing with LLMs
- Knowledge of Kubernetes/OpenShift and operational knowledge building/deploying containers.
- Experience creating automation for GitHub, using GitHub Actions or related continuous integration tools.
- Knowledge designing robust and scalable software used in highly scaled and performant Distributed Systems
- Experience developing, deploying or maintaining On-prem or Cloud Infrastructure
- Advanced knowledge developing unit, functional, and end-to-end (E2E) test cases and automation
- Ability to quickly learn and use new tools and technologies
- Following is considered a plus
- Experience with AI and Machine Learning platforms, tools, and frameworks, such as MLflow, Llama Stack, LangChain, PyTorch, LLaMA.cpp, vLLM, LangGraph, and Kubeflow.
- Experience with open source projects.
- Experience with Security, Observability, Performance or Scale.
- Understanding of DevOps methodology, scrum, and/or Jira.
- Bachelors or Masters degree in computer science or related discipline.
Benefits
- Comprehensive medical, dental, and vision coverage
- Flexible Spending Account - healthcare and dependent care
- Health Savings Account - high deductible medical plan
- Retirement 401(k) with employer match
- Paid time off and holidays
- Paid parental leave plans for all new parents
- Leave benefits including disability, paid family medical leave, and paid military leave
- Additional benefits including employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, employee assistance program, and more!
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