Role Description Senior Automation Engineers at Precisely design, build, and scale automation that connects tools, systems, and teams across globalization and user assistance operations. As a senior member of a global team, you work closely with engineers, information developers, localization specialists, DevOps, and other cross-functional stakeholders in an Agile, agentic-first environment. You lead the design and evolution of automation frameworks, reduce manual effort at scale, improve system reliability, and enable end-to-end workflows through API integrations, scripting, CI/CD, and AI-enabled automation. - Lead the design and implementation of automation supporting workflows across the documentation and software development lifecycle, including content creation, validation, publishing, UI localization, translation, and delivery. - Design, build, and operate production-grade agents, skills, scripts, and automation pipelines that replace complex, manual, and repetitive processes across documentation, localization, and language operations. - Architect and integrate systems across documentation, localization, and content platforms using MCPs and REST APIs to enable reliable, scalable, and secure end-to-end workflows. - Apply AI and LLM-based capabilities to generate, validate, transform, enrich, and manage content in alignment with approved security, privacy, and compliance standards. - Own the reliability, performance, and maintainability of automation systems through monitoring, troubleshooting, and continuous improvement. - Define and contribute to standards, patterns, and reusable components that support consistent and scalable automation practices. - Mentor team members through technical guidance, design reviews, and knowledge sharing. - Partner cross-functionally to advance automation maturity, innovation, and AI-assisted documentation and localization workflows. - Other duties may be assigned. Qualifications - BA/BS degree in computer science, engineering, information systems, or a related field, or equivalent practical experience. - 5+ years of experience in automation engineering, software engineering, or systems integration, preferably supporting developer platforms, documentation, localization, or content operations. - Strong proficiency in Python, with experience building maintainable, testable, production-grade automation and agent frameworks. - Advanced experience with Git-based workflows such as GitHub, including pull requests, code reviews, and repository automation. - Experience with work-tracking and planning tools such as Jira, Linear, or similar systems. - Strong understanding of CI/CD concepts and tools such as GitHub Actions, GitLab CI, Jenkins, or Azure DevOps. Requirements - Strong experience using AI-assisted engineering tools (e.g., GitHub Copilot, Cursor) with awareness of responsible AI practices including security, privacy, bias, and traceability. - Proven ability to design and operate production automation using Python and REST APIs. - Hands-on experience building and maintaining automation pipelines using Git-based CI/CD systems. - Demonstrated experience integrating LLMs via APIs to automate documentation and language operations. Preferred Skills - Experience designing or operating multi-agent or tool-orchestrated AI workflows at scale, including coordination and failure recovery. - Experience owning or evolving shared automation frameworks used across multiple products or teams. - Familiarity with observability, metrics, and cost tracking for AI-driven automation systems. - Experience containerizing, deploying, or operating long-running automation or agent services in production environments.

Role Description As an AI Software Engineer, you will work across the full stack of the AiMi platform. Building and shipping features from intuitive front-end interfaces through to robust back-end services and the agentic AI workflows that sit at the heart of our product. You will own features end-to-end, contribute directly to our agent pipeline, and play an active role in shaping how we build software as a team. - Build and ship new features and functionality that directly serve our clients: across back-end services, agentic workflows, and integrations that power the platform. - Contribute to the development and continuous improvement of our agentic AI pipeline, translating complex capital markets workflows into reliable, production-grade agent behaviour. - Design, build, and maintain skills, connectors, and MCP-based integrations that extend the capabilities of AiMi agents — connecting to client systems, internal tooling, and third-party platforms. - Contribute to agent evaluation - designing and running evals that assess agent accuracy, reliability, and behaviour across real-world workflows, and using those insights to drive continuous improvement. - Participate in agentic SDLC practices: spec-driven development as part of day-to-day engineering workflow. - Build and maintain robust back-end services container and serverless based services and APIs in Node.js, with a working understanding of our React/TypeScript front-end codebase. - Improve LLM observability and traceability across the agent pipeline to monitor, evaluate, and iterate on agent performance. - Work across the full stack: React/TypeScript front-end, Node.js back-end services, and AWS Lambda - to deliver well-tested, maintainable code and scalable services. Qualifications - 4 to 7 years of hands-on full stack development experience. - Solid back-end development experience in Node.js, with experience building and consuming RESTful APIs. - Practical experience working with LLMs, agent frameworks, or AI automation tooling: Mastra, LangChain, LlamaIndex, Claude, OpenAI or similar. - Familiarity with agentic SDLC practices and spec-driven development workflows (Claude Code, Cursor, CodeRabbit, or similar). - Working knowledge of AWS cloud services - Lambda, Bedrock, DynamoDB, S3, Cognito, API Gateway, CloudWatch. - Experience with MongoDB and DynamoDB (or equivalent NoSQL databases). - Solid understanding of event-driven architecture patterns. - Comfortable with testing at multiple levels - unit, integration, and E2E - and a genuine commitment to developer led testing approaches. - Familiarity with CI/CD workflows, GitHub Actions, and version control best practices. - A pragmatic, ownership-driven mindset with the ability to work independently in a remote, fast-paced environment. - Clear written communication skills - important for async collaboration and for working within our spec-driven development process. Requirements - Domain knowledge in capital markets, trading infrastructure, market data, or financial services. - Experience with LLM observability tooling such as Langfuse, Helicone, or similar. - Familiarity with streaming architectures and server-sent events (SSE). - Exposure to PostHog or other feature flag and analytics tooling. Benefits - Hands-on experience building and shipping production-grade agentic AI in a live financial markets platform. - Deep exposure to modern AI engineering, LLM evaluation, agent observability, prompt engineering, and agentic SDLC practices as part of daily work. - Direct involvement in architectural decisions at an early-stage, fast-moving startup. Your work will have real, visible impact. - Practical insight into capital markets infrastructure and trading operations. - Opportunity to grow into a senior or lead engineering role as AiMi grows. - Collaborative, remote-first team culture with a strong engineering discipline. Company Description An award winning platform built specifically for financial markets, streamlining manual tasks with agent driven workflows that accelerate access to trading and data infrastructure.

• Define a compelling, market-leading AI Architecture course curriculum outline that positions the course as an industry leader. • Develop advanced, practical content for the course — create core learning materials that enable learners to acquire applied skills, not just conceptual knowledge. • Design high-impact assessments and practical exercises — build real business scenarios and case challenges, hands-on labs, peer reviews, project rubrics, and portfolio deliverables so learners produce tangible artifacts. • Ensure industry relevance and future readiness by reflecting modern architectural patterns and emerging best practices.

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.