Lead AI Engineer

InteractiveAI

WHAT YOU’LL DO As a Senior DevOps Engineer, you’ll own the design, reliability, and evolution of InteractiveAI’s production infrastructure, ensuring our platform is secure, scalable, observable, and fast to ship. You’ll guide a small, high-impact team of DevOps/SRE engineers, raising standards for uptime, deployment velocity, and operational excellence across cloud and hybrid environments. You’ll work closely with AI Engineers, Backend Engineers, and Product teams to support demanding workloads (including LLM/ Agent orchestration) while building a best-in-class AI engineering platform. Your responsibilities will include: * Architect and evolve InteractiveAI’s core infrastructure (networking, compute, storage, Kubernetes, CI/CD) to support rapid product delivery * Build and operate cloud-agnostic environments (Kubernetes) across VPC, on-prem, and hybrid deployments * Implement and maintain CI/CD for services and infrastructure (GitOps preferred), enabling safe and frequent deployments * Define “gold standards” for reliability: SLOs/SLIs, incident response, on-call practices, runbooks, and postmortems * Establish robust observability (metrics, logs, traces) with actionable alerting and performance monitoring * Drive infrastructure-as-code across environments (Terraform/Pulumi/CloudFormation), including strong review/testing practices * Own security fundamentals: secrets management, IAM, network segmentation, vulnerability management, and compliance readiness * Improve developer productivity with internal tooling, self-service environments, and paved paths * Optimize costs and capacity planning across clusters and workloads (including bursty inference/agent workloads) * Mentor and grow a small DevOps team, fostering ownership, quality, and pragmatic execution WHAT WE’RE LOOKING FOR We’re seeking a hands-on technical leader with a builder’s mindset—someone who thrives in fast-moving environments, can scale systems and practices, and can lead through influence and example. Minimum Requirements * 5+ years in DevOps, SRE, Platform Engineering, or Infrastructure roles * Proven track record operating production systems with strong reliability and incident management practices * Strong expertise with Linux, networking fundamentals, and cloud infrastructure patterns * Deep knowledge of containerization and orchestration (Docker, Kubernetes) * Experience building and owning CI/CD pipelines for microservices and infrastructure * Proficiency with infrastructure-as-code (Terraform, Pulumi, CloudFormation) * Strong scripting/coding ability (Python, Bash, Go, or similar) * Experience with observability stacks (Prometheus/Grafana, ELK/OpenSearch, Datadog, OpenTelemetry, etc.) * Experience with at least one major cloud provider (AWS, GCP, or Azure) Additional Requirements (Nice to Have) * Experience with service mesh, API gateways, or ingress at scale (Istio/Linkerd, NGINX, Envoy, etc.) * Familiarity with security & compliance practices (GDPR, ISO 27001, SOC 2 readiness) * Experience supporting GPU clusters or high-throughput compute workloads (a plus for AI platforms) * Exposure to MLOps/LLM serving infrastructure and performance/cost optimization * Prior experience leading or mentoring engineers (formally or informally) WHAT YOU’LL GET * Competitive base salary (€90,000/yr to €110,000/yr) + performance bonuses * Access to equity/share plan as it rolls out * Private health insurance * Flexible work setup + travel when needed (hybrid in Lisbon or Madrid) * 23 days PTO (excluding local public holidays) WHO YOU ARE * Proactive & Strategic: You anticipate scaling challenges and design systems that won’t collapse under growth. * Technical Leader: You raise the bar with strong engineering fundamentals, clarity, and high standards. * Accountable & High-Ownership: You take responsibility for uptime, security, and delivery outcomes. * Builder Mentality: You move fast in ambiguity while keeping production safe and predictable. * Collaborative Partner: You communicate clearly, build trust across teams, and balance pragmatism with long-term vision. INTERVIEW PROCESS We keep our process focused and respectful of your time. Most candidates complete it in 2–3 weeks. Here’s what to expect: 1. Intro Call – 30 minutes with our team to align on fit and expectations 2. Technical Challenge – A practical DevOps/SRE design or automation task 3. Technical Interview – Deep dive into infrastructure architecture, reliability, security, and delivery practices 4. Leadership & Values Interview – Assess alignment with InteractiveAI’s culture and growth mindset 5. Offer – Final conversation and offer We’re building a team of builders — people who care about impact, quality, and growth. If that’s you, let’s talk !

InteractiveAI

WHAT YOU’LL DO As a Forward Deployed Engineer at Interactive AI, you will operate at the frontier of autonomous systems and real-world business impact. You won’t just be building PoCs or isolated pilots; you will be deploying production-grade agentic solutions that solve critical business bottlenecks and drive measurable impact across a diverse range of industries.  Your mission is to bridge the gap between abstract reasoning and production-grade reliability. You will own the end-to-end journey: from deeply understanding a customer’s unique business case and identifying technical pre-requisites to deploying our proprietary agentic framework and platform to resolve the business challenges at hand. Crucially, you are a core part of our innovation engine. By deploying in the field, you will identify framework limitations and directly contribute code and feedback to our core engineering team, ensuring our agentic architecture and platform evolve alongside the most demanding real-world use cases. 1. Autonomous Agent Deployment & Architecture * Master and Deploy Interactive Agents: Develop a first-principles understanding of our proprietary framework to architect multi-agent orchestrations and adaptive reasoning loops within customer environments. * Lead Technical Scoping: Independently translate ambiguous business problems into executable agentic architectures, defining the necessary tool-use requirements and safety guardrails. * Synthesize Business Context: Deeply analyze the unique challenges of customers—ranging from agile medium-sized companies to large enterprises—to design tailored agentic strategies that drive measurable ROI. 2. Custom Tooling & System Implementation * Build Cognitive Extensions: Engineer MCP (Model Context Protocol) tools, CLI interfaces, and custom Python/Node.js backend services that allow agents to interact fluently with diverse customer tech stacks. * Implement Memory & Data Pipelines: Build state management systems and data pipelines to ensure agents maintain long-term context and remain grounded in accurate, customer-specific data. * Bridge the Integration Gap: Identify and implement the necessary pre-requisite integrations (APIs, databases, ticketing systems) required for agents to effectively resolve the target business case. 3. Framework Evolution & Product Feedback * Close the Innovation Loop: Act as the primary bridge between the field and core engineering, providing direct code contributions and real-world performance insights to improve our underlying agentic framework and platform. * Scale Through Best Practices: Author reusable deployment patterns, agent blueprints, and "best-in-class" tool-use practices that accelerate the implementation cycle for future customers. 4. Agent Reliability & Production Ownership * Orchestrate & Scale Workloads: Deploy and manage containerized agent environments within the InteractiveAI platform, optimizing for the unique resource demands of the business problem being solved. * Ensure Production Excellence: Own the end-to-end reliability of the solution, troubleshooting autonomous decision-making issues and ensuring agents are tuned for self-correction in live settings. WHAT WE’RE LOOKING FOR We’re looking for an engineer who thrives in customer-facing, execution-heavy environments and enjoys owning delivery outcomes end to end. Minimum Requirements * 5+ years of experience in backend engineering, systems integration, or delivery-focused roles. * Strong proficiency in Python or Node.js, with the ability to write clean, performant code for agentic orchestrators and toolsets. * Proven track record of building complex system integrations, including APIs, connectors, and custom backend services. * Technical Problem Discovery: Strong communication skills and the ability to translate high-level business problems into executable engineering work for both medium and large-sized customers. * Agentic Exposure: Previous experience building or deploying agent-based systems, multi-agent frameworks, or RAG-based applications. * MCP Ecosystem: Familiarity with the Model Context Protocol (MCP) or building custom CLI-based tools for LLM interaction. * Hands-on experience with RESTful and/or GraphQL APIs, and the ability to translate these into functional tools for LLM consumption. * Strong familiarity with Cloud Infrastructure (AWS, GCP, or Azure) and experience deploying/managing Docker-based workloads. * Solid understanding of Data Architecture, specifically relational databases (Postgres) and in-memory stores (Redis) within integration contexts. * High Degree of Autonomy: Ability to walk into an ambiguous business setting, identify technical pre-requisites, and architect a solution from scratch. Nice-to-Haves * Experience with Kubernetes: Proficiency in managing, scaling, and troubleshooting containerized workloads at the orchestration level. * Infrastructure-as-Code (IaC): Comfort using Terraform or similar tools to manage deployment environments. * Enterprise Ecosystems: Experience integrating platforms like Salesforce, HubSpot, ServiceNow, Zendesk, or Snowflake. * Identity & Security: Familiarity with enterprise authentication systems (OAuth, SAML, SCIM, Okta) as they relate to autonomous tool-use. * Solution Consulting Background: Experience in technical delivery or systems integration where understanding the "business case" was as critical as the code. * Event-Driven Architectures: Experience with messaging platforms or streaming data pipelines that can feed real-time context to agents. WHAT YOU’LL GET * Competitive base salary (€70,000/yr to €90,000/yr) + performance bonuses * Access to equity/share plan as it rolls out * Private health insurance * Flexible work setup + travel when needed (ideally Hybrid in Lisbon, Madrid or Dublin) * Meal card and transportation benefit through CoverFlex, as available in each country * Up to 23 days PTO (excluding local public holidays) WHO YOU ARE * Delivery-Minded – You love solving real client problems and building integrations that work in the real world. * Pragmatic & Resourceful – You find practical solutions and adapt quickly to each client's environment. * High-Ownership Executor – You deliver high-quality work independently and reliably. * Strong Communicator – You work well with delivery managers, enterprise customers, and internal engineering teams. INTERVIEW PROCESS We keep our process focused and respectful of your time. Most candidates complete it in 2–3 weeks. Here’s what to expect: 1. Intro Call – 30 minutes 2. Culture & Values Alignment interview – Focused on your motivations to join InteractiveAI 3. Engineering Interview – Practical problem-solving and implementation-focused technical discussion 4. Delivery & Collaboration Interview – Working style, client interaction, communication 5. Offer – Final conversation and offer details

Ultra Tendency

ABOUT ULTRA TENDENCY Ultra Tendency is a leading data and AI consultancy helping organizations accelerate digital transformation through modern data platforms, advanced analytics, and AI-driven solutions. As a trusted partner to enterprise customers across Europe, we specialize in delivering cloud-native data architectures and scalable solutions that unlock business value. We are expanding our Databricks practice and are looking for an experienced Senior Databricks Consulting Engineer to work closely with our clients and delivery teams across EMEA. ---------------------------------------------------------------------------------------------------------------------------------- THE ROLE As a Senior Databricks Consulting Engineer, you will serve as a trusted technical advisor and strategic partner to enterprise customers. You will guide organizations through their data and AI transformation journeys, helping them design, implement, and optimize modern data platforms built on Databricks. You will combine deep technical expertise with strong stakeholder management skills to ensure customers realize measurable value from their Databricks investments. Working alongside client teams, executives, engineers, and Ultra Tendency consultants, you will lead architecture decisions, promote best practices, and drive successful adoption of the Databricks Lakehouse Platform. This is a highly customer-facing role requiring both hands-on technical capability and executive-level communication skills. ---------------------------------------------------------------------------------------------------------------------------------- KEY RESPONSIBILITIES CUSTOMER ADVISORY & ARCHITECTURE * Act as the primary technical advisor for strategic Databricks customers. * Design and review scalable data, analytics, and AI architectures leveraging the Databricks Lakehouse Platform. * Lead architecture workshops, solution design sessions, and technical roadmap discussions. * Translate business requirements into technical solutions and implementation plans. * Advise customers on platform modernization, cloud migration, data governance, and AI initiatives. SOLUTION DELIVERY & OPTIMIZATION * Support the successful implementation and adoption of Databricks solutions. * Review data engineering, analytics, machine learning, and GenAI workloads for scalability, performance, security, and cost optimization. * Identify and resolve technical blockers during customer engagements. * Drive architectural best practices for data pipelines, Lakehouse design, Unity Catalog, governance, and platform operations. TECHNICAL LEADERSHIP * Serve as a subject matter expert on Databricks capabilities and emerging data & AI technologies. * Mentor customer teams and Ultra Tendency consultants on architecture patterns and best practices. * Deliver executive presentations, technical workshops, and enablement sessions. * Contribute to reusable assets, reference architectures, and practice development initiatives. BUSINESS DEVELOPMENT SUPPORT * Partner with sales and account teams during strategic customer engagements. * Support technical discovery, solution positioning, and proposal development. * Provide architecture guidance during pre-sales and proof-of-concept activities. * Identify opportunities for platform expansion and increased customer value. ---------------------------------------------------------------------------------------------------------------------------------- REQUIRED QUALIFICATIONS * 7+ years of experience in data engineering, cloud architecture, analytics, or related fields. * 3+ years working with Databricks in enterprise environments. * Strong expertise in modern data platform architecture and cloud-native solutions. * Hands-on experience designing and implementing Lakehouse architectures. * Strong knowledge of: * Databricks Data Intelligence Platform * Apache Spark * Delta Lake * Unity Catalog * Data Governance & Security * Data Warehousing and Lakehouse Design * ETL/ELT Architectures * Data Modeling * Experience with at least one major cloud platform: * Microsoft Azure (preferred) * AWS * Google Cloud Platform * Proficiency in: * Python * SQL * Spark * Experience engaging with executive stakeholders and technical leadership teams. * Excellent communication and presentation skills in English & Spanish. PREFERRED QUALIFICATIONS * Databricks certifications such as: * Databricks Certified Data Engineer Professional * Databricks Certified Solutions Architect * Databricks Certified Machine Learning Professional * Experience with: * Generative AI and LLM solutions * MLflow * MLOps * Data Governance frameworks * Data Mesh architectures * Real-time and streaming data platforms * Experience in consulting or professional services environments. ---------------------------------------------------------------------------------------------------------------------------------- WHAT SUCCESS LOOKS LIKE * Customers successfully adopt and scale Databricks solutions. * Complex technical challenges are resolved quickly and effectively. * Executive stakeholders view you as a trusted advisor. * Best practices are consistently applied across customer environments. * Customer satisfaction, platform utilization, and business outcomes improve measurably. ---------------------------------------------------------------------------------------------------------------------------------- WHY JOIN ULTRA TENDENCY? * Work with leading enterprise customers across Europe. * Be part of a rapidly growing Data & AI consultancy. * Access to cutting-edge technologies in Data Engineering, Analytics, AI, and GenAI. * Opportunity to shape and expand Ultra Tendency's Databricks practice. * Continuous learning and certification support. * Flexible and remote-friendly working environment. * Competitive compensation package. * Collaborative, entrepreneurial, and international culture. ---------------------------------------------------------------------------------------------------------------------------------- ELIGIBILITY Applicants must currently reside in Spain and possess the legal right to work in the country. Unfortunately, we are unable to provide relocation assistance or visa sponsorship for this position. ABOUT US Ultra Tendency is an international Data Engineering consultancy specializing in Big Data, Cloud, Streaming, IIoT, and Microservices. Since 2010, we have helped leading organizations—including the European Central Bank, Deutsche Telekom, and Europe’s largest automotive manufacturer—build and operate large-scale, data-driven platforms. With 8 offices across 10 countries and a growing global team, we combine deep technical expertise with a strong commitment to open source. Our consultants actively contribute to projects such as Apache Kafka, Apache NiFi, Terraform, and Ansible, and we are a trusted Databricks partner. At Ultra Tendency, you'll work on challenging projects that push the boundaries of Data and AI while collaborating with talented colleagues in a culture built on learning, knowledge sharing, and mutual support. We evaluate candidates based on skills, experience, and business fit, and welcome applicants from all backgrounds. Data privacy statement: Data Protection for Applicants – Ultra Tendency