AI Software Engineer – M/F/Non-binary

SFEIR

. Design and deploy AI agents and agentic systems that execute end-to-end business processes .

Posted 10/26/2026full-timeBordeaux • FranceMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and deploying AI agents and systems, with a strong focus on automation use cases and compliance with GDPR and the EU AI Act. Proficient in managing the full software development lifecycle (SDLC) and utilizing tools such as Google Cloud and Vertex AI for effective deployment and monitoring.

Highest-signal resume keywords

AI Agent DevelopmentGoogle Cloud / Vertex AISDLC UnderstandingAPI IntegrationAsynchronous Programming

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI AgentsAutomation Use CasesMCP ProtocolsEvent-Driven ArchitectureTesting and ObservabilityAgent Evaluation ToolsFunction CallingLong-Running WorkflowsRegression TestingDrift Detection

Soft Skills

Interpersonal SkillsCollaboration

Tools & Technologies

Gemini EnterpriseVertex AI Agent BuilderAWSOpenTelemetryLangfuse

Industry Keywords

GDPR ComplianceEU AI ActAgent AutonomyAgent InteroperabilityBMAD Methodology

Tech Stack

Tools & technologies

AWSCloudOpen SourceSDLCTypeScript

About the role

Key responsibilities & impact

Design and deploy AI agents and agentic systems that execute end-to-end business processes
Analyze business needs and processes to define automation use cases and determine the balance between agent autonomy and human validation
Design and develop single-agent and multi-agent systems
Develop or configure agents using Gemini Enterprise, Vertex AI Agent Builder, and AWS
Build agent tools, including function calling, API and information system integrations, MCP servers, and long-running asynchronous workflows
Manage errors, retries, control loops, budget limits, and unexpected behavior
Evaluate agents using scenarios, trajectory analysis, success rates, LLM-as-a-judge, and regression testing
Monitor agents in production through traces, cost per task, drift detection, and dashboards
Secure agent autonomy through least-privilege permissions, prompt-injection protection, isolation, human validation, and traceability
Ensure compliance with the GDPR and the EU AI Act
Contribute across the full SDLC and deploy on Google Cloud / Vertex AI with CI/CD and cost management
Document patterns, train client teams, and contribute to SFEIR publications and events
Participate in Bordeaux’s local tech ecosystem and potentially lead the agency’s R&D through the AI Champions program

Requirements

What you’ll need

5 years of professional software development experience, excluding internships and work-study programs
Broad, end-to-end understanding of the SDLC
Solid initial experience working on LLM/AI projects
Demonstrated experience creating AI agents, either through custom development or low-code/no-code platforms
Knowledge of MCP and agent interoperability protocols such as A2A
Understanding of agent failure modes, including drift, loops, incorrect tool selection, and context loss
Strong command of APIs, asynchronous programming, and event-driven architectures
Engineering rigor, including testing, observability, and peer-reviewed code
Strong interpersonal skills and sufficient functional expertise to collaborate with business teams
Experience with agent evaluation and observability tools such as OpenTelemetry and Langfuse is a plus
Knowledge of the BMAD methodology is a plus
Knowledge of Google Cloud, including Vertex AI, Cloud Run, and Gemini, is a plus
Security awareness, including agent threat modeling and identity and permission management, is a plus
Familiarity with RAG is a plus
Open-source contributions, agentic side projects, and public speaking experience are a plus

Benefits

Comp & perks

Holiday bonus
Profit-sharing agreement
Sustainable mobility allowance
Health insurance
Meal vouchers
Remote work 2 to 3 days per week
Choice of premium laptop: latest-generation MacBook Pro or Dell Precision
Dedicated career paths for experts (Individual Contributor / IC)
Training through the SFEIR Institute
Participation in meetups, BDX/IO conferences, and SFEIR Talks
Opportunity to join the AI Champions program