Senior II Software Developer - Agentic System

BUILD THE FOUNDATION THAT MAKES AI AGENTS RELIABLE AT SCALE. Have you ever wondered what it takes to turn an AI agent from an impressive demo into a trusted product used every day? As part of our Agentic Operation team, you’ll build the platform capabilities that power Coveo’s conversational AI experiences within the Merchandising Hub and the infrastructure that allows AI agents to safely reason, take actions, and deliver reliable outcomes for our customers. You’ll work on the critical foundations of agentic systems, from tool orchestration and guardrails to evaluation frameworks and reliability patterns. If you’re excited about solving complex engineering challenges, experimenting with emerging technologies, and shipping tangible product value, you’ll feel right at home here. AS OUR SENIOR SOFTWARE DEVELOPER, YOU WILL: * Design, build, and evolve the platform services that power our AI conversational agent ecosystem. * Develop robust orchestration layers, agent integrations, and workflows that enable reliable agentic experiences in production. * Create evaluation, testing, and monitoring capabilities that improve the quality, safety, and performance of AI-powered systems. * Collaborate closely with product managers, developers, and AI specialists to deliver customer-facing capabilities with measurable impact. * Investigate and resolve complex production issues in non-deterministic systems through observability, tracing, and debugging practices. * Contribute to architectural decisions and engineering best practices across Python, TypeScript, Java, and AWS technologies. HERE IS WHAT WILL QUALIFY YOU FOR THE ROLE: * 8+ years of experience developing software solutions with Python. * Experience building or integrating AI agents, orchestration layers, or agentic frameworks. * Solid understanding of large language model (LLM)-based systems and their operational challenges. * Excellent communication and collaboration skills, with the ability to explain technical decisions and work effectively across teams. WHAT WILL MAKE YOU STAND OUT: * Experience developing with TypeScript and/or Java. * Familiarity with AWS Bedrock AgentCore or similar cloud-based AI platforms. * Experience implementing observability, logging, tracing, and monitoring strategies for distributed or non-deterministic systems. * Knowledge of testing and evaluation strategies for AI systems, including prompt regression testing and evaluation frameworks. Do you think you can bring this role to life? Send us your application, we want to hear from you! Join the Coveolife! We encourage all qualified candidates to apply regardless of, for example, age, gender, disability, gaps in CV, national or ethnic background. This job description was written by humans, assisted by AI. We may leverage technology in our hiring process to help us see the person behind the resume. Coveo is committed to providing accessible employment practices. If you require accommodation due to a disability at any point during the recruitment process, please contact [email protected] to discuss your needs.

Design and build platform services and orchestration layers to power reliable AI conversational agent ecosystems. Develop evaluation, testing, and monitoring capabilities to ensure the safety and performance of AI-powered systems.

Requires over 5 years of experience with Python and a solid understanding of LLM-based systems and agentic frameworks. Strong communication skills and experience with orchestration layers are essential.

• TypeScriptSouhaitée
• Amazon Web ServicesSouhaitée
• JavaSouhaitée
• PythonSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Python
• TypeScript
• Java
• AWS
• AI Agents
• LLM
• Orchestration Layers
• Observability
• Tracing
• Debugging
• Evaluation Frameworks
• AWS Bedrock AgentCore
• Prompt Regression Testing
• Distributed Systems
• Software Design
• API Integration

• Software
• Technology
• Engineering
• Data & Analytics

Expérience minimale

8+ ans

Langue de l’offre

anglais

Heures de travail

40 heures par semaine