Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
SFEIR

AI Software Engineer – M/F/Non-binary

SFEIR

. Analyze business needs and processes to define automation use cases and determine the allocation of tasks between agents and human reviewers .

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

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and developing AI agents, utilizing low-code/no-code platforms, and ensuring agent reliability through rigorous testing and observability. Proficient in managing the full software development lifecycle (SDLC) and deploying solutions on Google Cloud with a focus on security and compliance.

Highest-signal resume keywords
AI Agent DevelopmentLow-Code/No-Code ProgrammingGoogle Cloud (Vertex AI, Cloud Run)APIs and Asynchronous ProgrammingSDLC Management

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Software DevelopmentAgent EvaluationError HandlingFunction CallingAPI IntegrationEvent-Driven ArchitectureTesting and ObservabilityMCP ProtocolsRegression TestingDrift Detection
Soft Skills
Interpersonal SkillsCommunication with Business Teams
Tools & Technologies
Gemini EnterpriseVertex AI Agent BuilderAWSOpenTelemetryLangfuse
Industry Keywords
Automation Use CasesAgent InteroperabilityGDPR ComplianceAI Act ComplianceBMAD Methodology

Tech Stack

Tools & technologies
AWSCloudOpen SourceSDLCTypeScript

About the role

Key responsibilities & impact
  • Analyze business needs and processes to define automation use cases and determine the allocation of tasks between agents and human reviewers
  • Design and develop single-agent and multi-agent systems
  • Program or configure low-code/no-code 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
  • Ensure agent reliability through error handling, retries, control loops, and budget and step limits
  • Evaluate agents using scenarios, trajectory analysis, success rates, LLM-as-judge, and regression testing
  • Monitor agents in production with detailed traces, per-task cost tracking, drift detection, and dashboards
  • Secure agent autonomy through least-privilege permissions, protection against prompt injection, isolation of sensitive actions, human review, traceability, and GDPR/AI Act compliance
  • Work across the full SDLC and deploy to Google Cloud / Vertex AI with CI/CD and cost management
  • Document patterns, train client teams, and contribute to SFEIR publications and events

Requirements

What you’ll need
  • 5 years of software development experience, excluding internships and work-study programs
  • Broad understanding of the full SDLC
  • Initial strong experience working on LLM/AI projects
  • Demonstrated experience building AI agents, either through custom development or low-code/no-code environments
  • Knowledge of MCP and agent interoperability protocols (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: testing, observability, and peer-reviewed code
  • Strong interpersonal skills and sufficient functional expertise to communicate with business teams
  • Experience with agent evaluation and observability (OpenTelemetry, Langfuse, etc.) is a plus
  • Knowledge of the BMAD methodology is a plus
  • Google Cloud (Vertex AI, Cloud Run, Gemini) is a plus
  • Security awareness: threat modeling for agents, identity and permission management is a plus
  • Knowledge of RAG is a plus
  • Open-source contributions, agent-related side projects, and talks are a plus

Benefits

Comp & perks
  • Holiday bonus
  • Profit-sharing agreement
  • Sustainable mobility allowance
  • Health insurance
  • Meal vouchers
  • Choice of premium laptop (latest-generation MacBook Pro or Dell Precision)
  • Dedicated career paths for experts (Individual Contributor / IC)
  • More than 5,000 people trained each year through the SFEIR Institute
  • 2 to 3 days of remote work per week