Role Description At Mercanis, we are building the Agentic AI Procurement Suite that powers the procurement of tomorrow, digital, transparent, and intelligent. We are looking for an experienced AI Agentic Engineer to join our growing AI team. In this role, you will: - Design, build, and optimize agentic AI systems that automate complex procurement workflows. - Power intelligent decision-making across our platform. - Work with cutting-edge technologies in Python, LangGraph, and AWS. - Integrate and fine-tune models from leading providers such as OpenAI, Anthropic, and AWS Bedrock. Your work will have a direct impact on how organizations streamline their procurement processes and leverage AI for strategic advantage. This role is remote within the European Union. Ideally, you can join us in one of our offices in Berlin or Barcelona for a week each month to collaborate in person, though this is not a strict requirement. Qualifications - Strong professional experience in Python software development. - Proven experience building AI-driven or agentic systems, preferably with LangGraph or similar frameworks. - Solid understanding of Large Language Models (LLMs) and their integration with external APIs or structured data. - Hands-on experience working with LLM providers such as OpenAI, Anthropic, or AWS Bedrock. - Familiarity with cloud-based deployment and scaling, ideally using AWS services. - Strong problem-solving skills with a focus on maintainable, efficient, and scalable code. - A collaborative mindset and comfort working remotely with distributed teams. - Curiosity, adaptability, and a passion for staying ahead in the evolving world of AI. - Bonus: Experience with semantic search technologies (vector databases, embeddings, RAG systems). - Bonus: Strong background in measuring, evaluating, and optimizing AI system performance with clear metrics and benchmarking. - Bonus: Experience implementing observability and monitoring solutions for AI systems to track quality and iterate on improvements. - Bonus: Experience building or integrating MCP (Model Context Protocol) servers for extending AI capabilities. - Bonus: Knowledge of agent-to-agent (A2A) communication patterns and multi-agent system architectures. Requirements - Languages: Python - Frameworks & Tools: LangGraph & related LLM orchestration tools, Docling, LiteLLM, Phoenix - Infrastructure: AWS (Lambda, S3, ECS, and more) - Models: OpenAI, Anthropic, AWS Bedrock, and other foundation model providers Benefits - The chance to shape the future of AI in procurement, designing intelligent systems that have real business impact. - A collaborative and innovative culture that values experimentation and continuous learning. - Real ownership and autonomy in developing core AI components and system design. - Career growth opportunities in applied AI engineering and architecture. - Flexible remote setup with optional travel to our offices in Berlin or Barcelona. - A team that values transparency, curiosity, and technical excellence.

• Write and ship production AI code daily — you are an active contributor. • Architect agentic AI workflows using LangGraph, Temporal, Pydantic — stateful, multi-agent workflows built for enterprise scale and reliability. • Own AI observability via LangFuse: tracing, prompt versioning, evaluation, and performance benchmarking across all model interactions. • Set AI engineering standards for agent design patterns, RAG, prompt management, context optimization, and tool-calling strategies. • Partner with product and platform teams to deliver AI architectures that meet enterprise SLA, security, and compliance requirements. • Evaluate and adopt emerging tooling — benchmarking LLM providers, orchestration frameworks, and agentic stack improvements. • Mentor engineers as a natural extension of your work — sharing knowledge through code reviews, pairing sessions, and design discussions, not through management overhead. • Represent Acquia's AI capabilities in customer architectural reviews, technical discovery, and roadmap conversations.

About Acquia Acquia empowers the world’s most ambitious brands to create digital customer experiences that matter. With open source Drupal at its core, the Acquia Digital Experience Platform (DXP) enables marketers, developers, and IT operations teams at thousands of global organizations to rapidly compose and deploy digital products and services that engage customers, enhance conversions, and help businesses stand out. Headquartered in Boston, MA, Acquia is a Great Place to Work-CertifiedTM company, is listed as one of the world’s top software companies by The Software Report, and is positioned as a market leader by the analyst community. We are Acquia. We are building for the future and we want you to be a part of it! Career Exploration at Acquia Our recruitment process is designed to empower you in making the most informed decisions. Acquia is committed to providing an inclusive, transparent, efficient, and educational interview experience that cultivates exploration into career opportunities at Acquia You will discover the opportunity to grow your career here and learn from a global team that empowers you to exceed boundaries and achieve the extraordinary. Acquia is the digital experience platform built for a world where your audience isn't only human. Its agents too. As AI agents become active participants in how people discover, consume, and act on digital content, Acquia gives enterprise teams the platform to create, manage, and distribute experiences designed for both. Powered by agentic AI that orchestrates — not just advises — Acquia automates complex digital workflows within the governance guardrails large organizations require. The world's #1 Drupal hosting provider, Acquia brings together Content Management, Digital Asset Management, and Product Information Management in a single AI-powered Command Center: Acquia Source. Acquia. Built for every audience, human or otherwise. The Role: As an AI Staff Engineer within R&D, you will drive the technical evolution of Acquia DAM, a market-leading platform that transforms how global brands manage content using powerful AI features including auto-tagging, automated facial recognition, duplicate asset detection, and natural language search. In this role, you will work to deeply integrate DAM with the broader Acquia AI ecosystem, architecting upcoming roadmap themes centered on autonomous asset governance, agentic orchestration, and smart visual transformations. Joining our collaborative, AI-native engineering team, you will actively identify the latest agentic practices and mentor developers as they leverage an evolving toolset—including OpenCode, OpenSpec product specifications, and a diverse matrix of foundational models and skills—to drive rapid development, testing, and cutting-edge feature delivery. Key Responsibilities - Write and ship production AI code daily — you are an active contributor. - Architect agentic AI workflows using LangGraph, Temporal, Pydantic — stateful, multi-agent workflows built for enterprise scale and reliability. - Own AI observability via LangFuse: tracing, prompt versioning, evaluation, and performance benchmarking across all model interactions. - Set AI engineering standards for agent design patterns, RAG, prompt management, context optimization, and tool-calling strategies. - Partner with product and platform teams to deliver AI architectures that meet enterprise SLA, security, and compliance requirements. - Evaluate and adopt emerging tooling — benchmarking LLM providers, orchestration frameworks, and agentic stack improvements. - Mentor engineers as a natural extension of your work — sharing knowledge through code reviews, pairing sessions, and design discussions, not through management overhead. - Represent Acquia's AI capabilities in customer architectural reviews, technical discovery, and roadmap conversations. Required Experience - 8+ years of software engineering with 3+ years in production of AI Agents. - Hands-on LangGraph, Temporal, Pydantic expertise — stateful, cyclic, multi-agent workflows at enterprise scale. - Hands-on LangFuse expertise - tracing, evaluation, prompt management, and dataset- driven testing - Proficiency with agent harness frameworks such as LangChain or similar (e.g. LlamaIndex, CrewAI) — composing chains, tools, memory, and retrieval pipelines. - Deep Python proficiency and strong engineering fundamentals (testing, CI/CD, architecture). - Cloud AI deployment experience (AWS, Azure, or GCP) including containerization and inference cost management. - RAG architecture knowledge— vector databases, embedding models, and retrieval strategies. - B.S. in Computer Science or equivalent practical experience. Desired Skills - Enterprise SaaS or CMS, including familiarity with Acquia's Drupal-based DXP experience - Agentic development workflow fluency — AI-assisted coding tools (Copilot, Cursor, Claude) as everyday accelerators. - Familiarity with persistent agent runtimes - such as OpenClaw and Hermes Agent, understanding cross-session memory, autonomous skill creation, and always-on agent infrastructure as it matures in enterprise contexts. - LLM fine-tuning or model evaluation experience and awareness of foundational model tradeoffs. - Human-in-the-loop — interrupt-driven agents and enterprise design - Strong communication skills — able to present AI system design to both engineers and C-suite stakeholders. - Senior IC track record — known for the quality of your own code and system designs, with mentoring that happens organically through great work, not through meetings. We are an organization that embraces innovation and the potential of AI to enhance our processes and improve our work. We are always looking for individuals who are open to learning new technologies and collaborating with AI tools to achieve our goals. Acquia is proud to provide best-in-class benefits to help our employees and their families maintain a healthy body and mind. Core Benefits include: competitive healthcare coverage, wellness programs, take it when you need it time off, parental leave, recognition programs, and much more! Acquia is an equal opportunity (EEO) employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veterans status or any other protected status or characteristic under federal, state or local law unrelated to the ability to perform the job. We are seeking an AI-Native candidate who treats AI not as an external tool, but as a fundamental extension of their cognitive workflow. The ideal candidate possesses an orchestration mindset—the ability to skillfully prompt, manage, and direct AI to navigate complexity—and maintains a high degree of AI fluency. You should be characterized by radical adaptability and a "builder" mentality, showing a restless drive to transform traditional work processes into agentic workflows. Beyond technical proficiency, we value intellectual humility: the willingness to constantly unlearn old methods in favor of more efficient, AI-augmented processes. You don't just use AI to do your job; you use it to redefine what your job can achieve. Pay Range $180,000—$200,000 USD

• Design and build automated workflows - both deterministic (rule-based) and probabilistic (model-driven) • Implement agent orchestration patterns (planning, tool use, evaluation loops, error recovery) • Build and maintain APIs and backend services supporting AI-driven functionality • Develop retrieval and grounding systems for knowledge search and context enrichment • Work with structured and unstructured data to support AI use cases • Design evaluation frameworks to measure and monitor AI system quality • Design testing strategies for non-deterministic AI systems • Manage cost, latency, and quality tradeoffs in production AI systems • Collaborate with Backend, Data, DevOps, and Product teams • Deploy, monitor, and maintain services in production environments • Contribute to system design and technical decision-making