Role Description We are looking for an AI Engineer to join a product engineering team focused on introducing LLM-based capabilities into enterprise software and building systems such as MCP servers and agents. The role involves working on AI-driven product features, backend services, and integrations that connect models with tools and data in a scalable production environment. - Design and develop AI-powered product features with a focus on LLM-based capabilities; - Build and maintain MCP servers and agent-based components; - Develop enterprise-grade web services and backend integrations; - Work with tools, data sources, and model interfaces across cloud environments; - Collaborate with engineering teams to deliver production-ready AI solutions. Qualifications - AI Engineer profile with strong SDE background; - Proficiency in C# or Python; - Knowledge of Model Context Protocol (MCP) for connecting tools and data into models; - Experience in developing enterprise-grade web services; - Experience working with cloud platforms such as Azure, AWS, or GCP. Requirements - Hands-on experience with LLM and RAG engineering, including retrieval design, chunking, vector stores, and structured outputs, using tools such as OpenAI, LangChain, or LlamaIndex; - Experience in building and orchestrating agentic systems that call tools and reason over retrieved context, using frameworks such as LangGraph or AutoGen, and OpenAI tool calling or the Responses API; - Familiarity with LLM evaluation and observability tools such as LangSmith or Langfuse; - Experience with guardrails and security measures such as prompt injection defense and output validation. Engagement Type - B2B contract. Location / Timezone - Remote work from Croatia, Poland, Portugal, and Serbia. - European working hours. - Occasionally available for meetings up to 10:00 AM PST (US overlap).

• Define technology roadmaps and architectural standards; drive adoption across Addepar • Design and architect our SaaS applications as part of Addepar R&D • Collaborate with product management and business stakeholders • Spend time with clients to understand their requirements and influence the platform roadmap to meet those needs • Proactively identify, prioritize, and propose remediation for tech debt • Mentor and guide software engineers and architects on best practices • Evaluate and select appropriate technologies and frameworks • Ensure the security, scalability and efficiency of our SaaS solutions • Conduct code reviews and ensure code quality • Troubleshoot and resolve complex technical issues • Partner with engineering teams to accelerate the delivery of key product capabilities

• Design and write clean, reliable TypeScript code for both frontend and backend services. • Collaborate with engineers, QAs, Product Managers, and Engineering Managers to plan, build, and release new features. • Write unit and integration tests, and contribute to a robust CI/CD setup that ensures safe, reliable releases. • Deploy and operate software in AWS using infrastructure-as-code tools like Terraform. • Take part in code reviews, retrospectives, and regular feedback sessions to improve as an engineer. • Look for opportunities to improve development workflows using AI-powered tooling and automation.

• Set the technical direction for Instacart's home and search web experiences • Build innovative features to help customers discover new retailers • Drive improvements to Core Web Vitals and page load performance • Improve SEO and organic discovery • Partner with ML and backend teams to surface personalized recommendations • Mentor senior engineers