Staff Software Engineer, AI

Basis Technologies

. Set the technical direction for Compass and its LLM-powered features .

Posted 10/15/2026full-timeRemote • United States, CanadaLead💰 $136,908 - $185,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expert-level proficiency in Python and a strong track record in architecting production APIs and backend services, particularly in LLM-powered applications and agent systems. Proven ability to lead technical direction, mentor engineers, and foster collaboration across teams while ensuring high-quality deliverables.

Highest-signal resume keywords

Expert-Level Proficiency In PythonArchitecting Production APIsBuilding Production-Grade Agentic SystemsExperience With Evaluation And Observability ToolsMentoring Engineers

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringProduction LLM-Powered ApplicationsAgent SystemsArchitecting APIsBackend ServicesAsynchronous PatternsEvent-Driven PatternsPrompt EngineeringStructured OutputsAgent Reliability Techniques

Soft Skills

Technical LeadershipCollaborationDecision-MakingMentoringCreating Inclusive Environments

Tools & Technologies

StrandsLangChainClaude Agent SDKLangfuseLangSmithClaude CodeCursorCodex

Industry Keywords

Agentic DevelopmentAI-Assisted DevelopmentAd TechMCPA2A Integrations

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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