Senior Backend Engineer (Python), AI Engineering: Agent Foundations
GitLab
Senior Backend Engineer (Python), AI Engineering: Agent Foundations
Job Description
About this Role
Join GitLab as a Senior Backend Engineer in AI Engineering: Agent Foundations, shaping the future of AI-powered DevSecOps.
Build the core Python service powering the innovative Duo Agent Platform that revolutionizes software development workflows.
GitLab's mission empowers everyone to contribute and co-create software, accelerating human progress through open collaboration.
Lead the design of scalable platforms hosting AI agents, enabling automation and productivity boosts for teams worldwide.
Dive into cutting-edge agentic AI, orchestrating interactions with the latest large language models to redefine possibilities.
Become the Python expert in a Ruby-centric environment, setting standards and mentoring peers on modern web practices.
Collaborate asynchronously in a high-performance culture where innovation thrives and every voice drives impact.
Tackle complex challenges in distributed systems, ensuring reliability, observability, and scalability for high-volume APIs.
Influence product and architecture decisions, integrating AI seamlessly into GitLab's comprehensive DevSecOps platform.
Co-create the future at GitLab, where careers accelerate amid continuous learning and partnership with industry leaders.
Locations
- EMEA (Remote)
Salary
Salary details available upon request
120,000 - 200,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Python web developmentintermediate
- gRPC service interactionsintermediate
- Large language models integrationintermediate
- Prompt designintermediate
- Distributed systems architectureintermediate
- Testing infrastructure for AI agentsintermediate
- Observability and monitoring toolsintermediate
- Performance optimizationintermediate
- Security best practicesintermediate
- Mentoring and code reviewintermediate
Required Qualifications
- Deep experience building and operating Python web services in multi-service environments. (experience)
- Proven track record designing and leading complex, distributed backend systems. (experience)
- Focus on reliability, observability, scalability, and performance for high-volume APIs. (experience)
- Hands-on experience integrating AI and machine learning into products. (experience)
- Work with large language models and prompt design. (experience)
- Ability to architect and evolve gRPC-based service interactions. (experience)
- Collaborate effectively with teams using different languages and stacks. (experience)
- Experience mentoring engineers and providing technical guidance. (experience)
- Influencing engineering strategy across multiple teams. (experience)
- Strong written and verbal communication skills for asynchronous work. (experience)
Preferred Qualifications
- Openness to learning new technologies quickly. (experience)
- Experience with Go programming language. (experience)
- Experience with TypeScript. (experience)
- Experience with Ruby. (experience)
- Background in IDE extension development. (experience)
- Comfort representing engineering decisions to stakeholders. (experience)
- Proven ability to propose iterative solutions to technical challenges. (experience)
- Participation in on-call rotations for production troubleshooting. (experience)
- Collaboration with cross-functional teams including product and marketing. (experience)
- Knowledge of secure coding practices in AI systems. (experience)
Responsibilities
- Lead design and development of scalable Python web service for AI agents.
- Develop integrations with large language models and prompt design.
- Orchestrate agentic behaviors within the Duo Agent Platform.
- Build and maintain testing infrastructure for agent reliability.
- Ensure observability and scalability in distributed systems.
- Drive adoption of modern Python backend best practices.
- Provide technical mentorship to AI Engineering and Code Creation teams.
- Influence product and architecture decisions in multi-service environments.
- Collaborate with cross-functional teams on AI-powered features.
- Participate in Tier 2 and Tier 3 on-call rotations.
Benefits
- general: Comprehensive benefits supporting health, finances, and well-being.
- general: Flexible Paid Time Off policy.
- general: Team Member Resource Groups for inclusion and belonging.
- general: Equity Compensation and Employee Stock Purchase Plan.
- general: Growth and Development Fund for professional advancement.
- general: Generous Parental Leave.
- general: Home office support and equipment.
- general: Continuous knowledge exchange and learning opportunities.
- general: High-performance culture valuing every voice.
- general: Opportunities to collaborate with industry leaders.
Tags & Categories
Answer 10 quick questions to check your fit for Senior Backend Engineer (Python), AI Engineering: Agent Foundations @ GitLab.
Related Books and Jobs
Senior Backend Engineer (Python), AI Engineering: Agent Foundations
GitLab
Senior Backend Engineer (Python), AI Engineering: Agent Foundations
Job Description
About this Role
Join GitLab as a Senior Backend Engineer in AI Engineering: Agent Foundations, shaping the future of AI-powered DevSecOps.
Build the core Python service powering the innovative Duo Agent Platform that revolutionizes software development workflows.
GitLab's mission empowers everyone to contribute and co-create software, accelerating human progress through open collaboration.
Lead the design of scalable platforms hosting AI agents, enabling automation and productivity boosts for teams worldwide.
Dive into cutting-edge agentic AI, orchestrating interactions with the latest large language models to redefine possibilities.
Become the Python expert in a Ruby-centric environment, setting standards and mentoring peers on modern web practices.
Collaborate asynchronously in a high-performance culture where innovation thrives and every voice drives impact.
Tackle complex challenges in distributed systems, ensuring reliability, observability, and scalability for high-volume APIs.
Influence product and architecture decisions, integrating AI seamlessly into GitLab's comprehensive DevSecOps platform.
Co-create the future at GitLab, where careers accelerate amid continuous learning and partnership with industry leaders.
Locations
- EMEA (Remote)
Salary
Salary details available upon request
120,000 - 200,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Python web developmentintermediate
- gRPC service interactionsintermediate
- Large language models integrationintermediate
- Prompt designintermediate
- Distributed systems architectureintermediate
- Testing infrastructure for AI agentsintermediate
- Observability and monitoring toolsintermediate
- Performance optimizationintermediate
- Security best practicesintermediate
- Mentoring and code reviewintermediate
Required Qualifications
- Deep experience building and operating Python web services in multi-service environments. (experience)
- Proven track record designing and leading complex, distributed backend systems. (experience)
- Focus on reliability, observability, scalability, and performance for high-volume APIs. (experience)
- Hands-on experience integrating AI and machine learning into products. (experience)
- Work with large language models and prompt design. (experience)
- Ability to architect and evolve gRPC-based service interactions. (experience)
- Collaborate effectively with teams using different languages and stacks. (experience)
- Experience mentoring engineers and providing technical guidance. (experience)
- Influencing engineering strategy across multiple teams. (experience)
- Strong written and verbal communication skills for asynchronous work. (experience)
Preferred Qualifications
- Openness to learning new technologies quickly. (experience)
- Experience with Go programming language. (experience)
- Experience with TypeScript. (experience)
- Experience with Ruby. (experience)
- Background in IDE extension development. (experience)
- Comfort representing engineering decisions to stakeholders. (experience)
- Proven ability to propose iterative solutions to technical challenges. (experience)
- Participation in on-call rotations for production troubleshooting. (experience)
- Collaboration with cross-functional teams including product and marketing. (experience)
- Knowledge of secure coding practices in AI systems. (experience)
Responsibilities
- Lead design and development of scalable Python web service for AI agents.
- Develop integrations with large language models and prompt design.
- Orchestrate agentic behaviors within the Duo Agent Platform.
- Build and maintain testing infrastructure for agent reliability.
- Ensure observability and scalability in distributed systems.
- Drive adoption of modern Python backend best practices.
- Provide technical mentorship to AI Engineering and Code Creation teams.
- Influence product and architecture decisions in multi-service environments.
- Collaborate with cross-functional teams on AI-powered features.
- Participate in Tier 2 and Tier 3 on-call rotations.
Benefits
- general: Comprehensive benefits supporting health, finances, and well-being.
- general: Flexible Paid Time Off policy.
- general: Team Member Resource Groups for inclusion and belonging.
- general: Equity Compensation and Employee Stock Purchase Plan.
- general: Growth and Development Fund for professional advancement.
- general: Generous Parental Leave.
- general: Home office support and equipment.
- general: Continuous knowledge exchange and learning opportunities.
- general: High-performance culture valuing every voice.
- general: Opportunities to collaborate with industry leaders.
Tags & Categories
Answer 10 quick questions to check your fit for Senior Backend Engineer (Python), AI Engineering: Agent Foundations @ GitLab.
Related Books and Jobs