AI Software Engineer Bootcamp training software developers in AI - assisted development, agentic workflows, and product thinking. Remote worldwide, with mentoring, certification, and job - search support.
About the role
- Staff AI Engineer leading Compass, Basis’s LLM-powered agent platform for digital media operations. Architecting agent systems, MCP/A2A integrations, evaluation, and AI-assisted engineering practices.
Responsibilities
- Set the technical direction for Compass and its LLM-powered features
- Architect multi-agent systems and own major design decisions
- Lead the design and evolution of MCP servers, A2A integrations, and APIs connecting agents to the Basis media buying toolkit
- Own agent orchestration, evaluation, and observability
- Define agent quality measurements and ensure reliable production reasoning, planning, and execution
- Own software end to end, including production support for Compass
- Serve as the primary technical contact for Product, QA, Design, Operations, Engineering teams, and stakeholders
- Represent the team in cross-team planning, architecture discussions, and RFCs
- Drive large-scale technical projects across multiple teams and systems from ideation through production
- Own team deliverables, decisions, quality, processes, and technical direction
- Translate business goals into realistic technical plans and identify risks and blockers
- Own the technical quality bar through design and code reviews
- Onboard and mentor engineers
- Lead adoption of AI-assisted and agentic development across Basis Engineering
- Establish best practices and build examples and infrastructure for other teams
- Foster a positive team culture and promote Basis in the community
- Build orchestration, tooling, and evaluation infrastructure for reliable LLM-powered agents in the ad tech domain
- Develop patterns and best practices for agentic and AI-assisted development across Engineering
Requirements
- Minimum of 8 years of professional software engineering experience, including recent experience shipping production LLM-powered applications or agent systems
- Track record of technical leadership, including owning the technical direction of a team or major system and influencing architecture beyond the immediate area of ownership
- Expert-level proficiency in Python
- History of architecting production APIs and backend services and integrating with protocols such as MCP and A2A
- Deep experience building and operating production-grade agentic systems with frameworks such as Strands, LangChain, or the Claude Agent SDK
- Experience with asynchronous and event-driven patterns, prompt engineering, structured outputs, and techniques for improving agent reliability
- Experience with evaluation and observability tools such as Langfuse or LangSmith, including designing evaluation strategies from the ground up
- Fluency with AI coding tools such as Claude Code, Cursor, and Codex
- Proven ability to mentor engineers and explain complex agentic systems clearly to technical and non-technical stakeholders
- Thoughtful approach to collaboration, design, and decision-making that prioritizes equity, access, and continuous learning
- Commitment to creating inclusive, respectful environments
- Bachelor’s or advanced degree in Computer Science, Engineering, or a related field is listed as a bonus, not a requirement
Benefits
- Flexible work week
- 401k/RRSP matching
- Mental health support
- Paid sabbaticals
- Generous parental leave
- Flexible work options
- Competitive benefits
- Remote, hybrid, or on-site work options across the U.S. and Canada
- Optional cover letter
- Identity, education, and employment history verification for hires
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