Mindera

At Mindera, we believe in building software that improves lives. As a Senior AI Engineer, you will have the following focus: - Backend Architecture & Development: Design, build, and maintain scalable, high-performance microservices using Java 17/21+ and the Spring Boot framework. - Agentic System Design: Architect and implement autonomous AI agents using frameworks like Spring AI or LangChain4j. Develop systems capable of multi-step reasoning, dynamic tool utilization, and memory management. - LLM Integration: Integrate commercial Azure Co-pilot, into enterprise applications via robust RESTful APIs. - Prompt Engineering & Optimization: Craft, test, and version-control complex prompts to ensure deterministic, safe, and accurate model outputs. Use skills and agents md files for long term maintainability. - System Reliability: Implement guardrails, rate limiting, fallback mechanisms, and observability tracing for AI features to ensure enterprise-grade reliability and security. - Collaboration: Work closely with App Engineers, product managers, data, and frontend developers to define AI use cases and deliver seamless end-to-end user experiences on Mobile Apps.

Role Description We are building a world class team and would love you to join us. As an experienced Cloud Engineer you’ll be part of an agile project team working with all the infrastructure pieces of a system. From writing code to provision infrastructures to driving root cause analysis, all while making sure you have fun learning and building things. You will also be guiding the team on DevOps methodologies and best practices, and have very close contacts with CEO, COO (others) from client side, so English must feel as second nature to you :) National and international expected traveling time varies according to project/client and organizational needs: 0%-15% estimated. Qualifications - 7+ Years of experience - Roaming around Linux/Unix systems and pinpointing problem root causes - Understanding how the Internet and Web applications work under the hood - Metrics, logs, distributed tracing and everything around observability - Configuration management frameworks such as Ansible - Maintaining applications in a production environment - Being self-driven and working with little supervision towards a common team or company purpose - Feeling humble and motivated by being able to learn/teach others - Comfortable with DevOps methodologies and best practices Requirements - Good Experience managing AWS Cloud Infrastructure. - Provisioning resources, configuring networks, ensuring security, optimizing costs, implementing disaster recovery, and automating infrastructure management. - Experience setting up CI/CD and AWS networking and accounts using Github, Github actions, Gitlab and/or Jenkins. - Experience with Containers and orchestration frameworks such as Kubernetes and Docker, preferably using Helm Charts. - Experience with Infrastructure as Code (IaC) and its tools, such as Terraform, Terragrunt. - Experienced with monitoring, preferably with Grafana, Kibana, DataDog. Cloud Watch also an option. - Experienced Creating and Developing CDN using CloudFront and/or AKAMAI. - Solid knowledge of Networking protocols. - Experienced with languages for automation tasks and scripting such as Bash, Python, Javascript, and Typescript. - Very comfortable with English. Benefits - Permanent contract - Unlimited PTO - Flexible working hours - Training & conferences, create your own training plan - Work with large scale systems powering global businesses - Work with a bunch of great people, where the whole team owns the project together in a politics-free environment - Our culture reflects our lean and self-organization attitude - Encouragement to take risks, make decisions, work collaboratively, and enhance communication - Freedom and Responsibility go hand in hand, valuing commitment, feedback, and empathy Company Description At Mindera we use technology to build products we are proud of, with people we love. - Software Engineering Applications, including Web and Mobile, are at the core of what we do at Mindera. - We partner with our clients to understand their products and deliver high-performance, resilient and scalable software systems that create an impact in their users and businesses across the world. - We are proud of our work and we love to learn all and everything while navigating through an Agile, Lean and collaborative environment. - Our offices are located: Porto, Portugal | Aveiro, Portugal | Coimbra, Portugal | Leicester, UK | San Diego, USA | San Francisco, USA | Chennai, India | Bengaluru, India | Cluj-Napoca, Romania | Blumenau, Brazil | Casablanca, Morocco | Australia

• Define and lead the architecture for scalable Machine Learning and AI platforms. • Design end-to-end ML workflows using Databricks, including: Feature engineering, Model training, Experimentation, Deployment, Monitoring • Architect scalable data pipelines for AI/ML workloads using: Apache Spark, Python, SQL • Establish MLOps best practices including: CI/CD for ML, Model versioning, Model governance, Automated retraining, Model drifting, Observability and monitoring • Design secure and compliant AI architectures aligned with governance and privacy standards. • Partner with Data Engineering teams to optimize data models and feature stores. • Guide Data Scientists and ML Engineers on scalable production design patterns. • Evaluate and integrate modern AI capabilities, including (this will be a plus): LLMs, Vector databases, Retrieval augmented generation (RAG), AI agents • Drive cost optimization, scalability, and operational excellence across ML platforms. • Define reference architectures and best practices across multiple ML teams (not just owning a single project). • Support stakeholder engagement and translate business needs into scalable technical solutions.

• Define and lead the architecture for scalable Machine Learning and AI platforms. • Design end-to-end ML workflows using Databricks, including: Feature engineering, Model training, Experimentation, Deployment, Monitoring • Architect scalable data pipelines for AI/ML workloads using:, Apache Spark, Python, SQL • Establish MLOps best practices including:, CI/CD for ML, Model versioning, Model governance, Automated retraining, Model drifting, Observability and monitoring • Design secure and compliant AI architectures aligned with governance and privacy standards. • Partner with Data Engineering teams to optimize data models and feature stores. • Guide Data Scientists and ML Engineers on scalable production design patterns. • Evaluate and integrate modern AI capabilities, including (this will be a plus): LLMs, Vector databases, Retrieval augmented generation (RAG), AI agents • Drive cost optimization, scalability, and operational excellence across ML platforms. • Define reference architectures and best practices across multiple ML teams (not just owning a single project). • Support stakeholder engagement and translate business needs into scalable technical solutions.

• Business Insight & Problem Definition: Partner closely with marketing and product teams to diagnose business challenges and define appropriate data metrics, analyses, and interpretations to drive strategic decisions. • Statistical Modeling: Define requirements for and lead the creation, monitoring, and iterative improvement of key statistical models used for marketing spend optimization and product growth. • Narrative & Visualization: Design clear, unambiguous narratives and data visualizations to communicate model outputs and analysis results to broad, non-technical audiences. • Rapid Prototyping: Independently prototype and test new insights, moving from hypothesis to rigorous validation with minimal mentorship. • Technical Consultation: Reason effectively about the strengths and weaknesses of different modeling approaches, selecting and iterating on combinations that suit specific marketing contexts.

• Define and lead the architecture for scalable Machine Learning and AI platforms. • Design end-to-end ML workflows using Databricks, including: Feature engineering, Model training, Experimentation, Deployment, Monitoring • Architect scalable data pipelines for AI/ML workloads using:, Apache Spark, Python, SQL • Establish MLOps best practices including:, CI/CD for ML, Model versioning, Model governance, Automated retraining, Model drifting, Observability and monitoring • Design secure and compliant AI architectures aligned with governance and privacy standards. • Partner with Data Engineering teams to optimize data models and feature stores. • Guide Data Scientists and ML Engineers on scalable production design patterns. • Evaluate and integrate modern AI capabilities, including (this will be a plus): LLMs, Vector databases, Retrieval augmented generation (RAG), AI agents • Drive cost optimization, scalability, and operational excellence across ML platforms. • Define reference architectures and best practices across multiple ML teams (not just owning a single project). • Support stakeholder engagement and translate business needs into scalable technical solutions.

Role Description We are looking for an experienced Machine Learning Architect to lead the design and implementation of scalable AI and ML solutions across modern cloud data platforms. This role combines architecture, engineering, and strategic leadership to enable enterprise-scale machine learning capabilities. The ideal candidate has strong hands-on experience with Databricks and a deep understanding of ML lifecycle management, MLOps, scalable data architectures, and AI platform governance. This is a highly collaborative role working closely with Data Engineering, Data Science, Product, and Business stakeholders to design robust, scalable, and production-ready AI solutions. - Define and lead the architecture for scalable Machine Learning and AI platforms. - Design end-to-end ML workflows using Databricks, including: - Feature engineering - Model training - Experimentation - Deployment - Monitoring - Architect scalable data pipelines for AI/ML workloads using: - Apache Spark - Python - SQL - Establish MLOps best practices including: - CI/CD for ML - Model versioning - Model governance - Automated retraining - Model drifting - Observability and monitoring - Design secure and compliant AI architectures aligned with governance and privacy standards. - Partner with Data Engineering teams to optimize data models and feature stores. - Guide Data Scientists and ML Engineers on scalable production design patterns. - Evaluate and integrate modern AI capabilities, including (this will be a plus): - LLMs - Vector databases - Retrieval augmented generation (RAG) - AI agents - Drive cost optimization, scalability, and operational excellence across ML platforms. - Define reference architectures and best practices across multiple ML teams (not just owning a single project). - Support stakeholder engagement and translate business needs into scalable technical solutions. Qualifications - 8+ years in Data, AI, or Machine Learning Engineering roles. - 3+ years designing ML platforms or AI architecture at scale. - Strong hands-on experience with: - Databricks - Apache Spark - Python - SQL - Strong understanding of: - MLOps - ML lifecycle management - Distributed ML systems - Feature engineering - Model deployment patterns - Databricks Unity Catalog, Delta Lake, and Lakehouse architecture experience. - Experience with cloud platforms (AWS, Azure, or GCP). - Experience deploying ML models into production environments. - Strong knowledge of data architecture and scalable ETL/ELT patterns. - Experience working with orchestration frameworks such as Apache Airflow. - Strong stakeholder communication and technical leadership skills. Benefits - Work Your Way: Flexibility to choose where you work from (Remote-first culture). - Growth Mindset: Free English lessons and continuous training/learning opportunities. - Well-being First: Access to counseling and psychotherapy services, and incentives in sports competitions, because your mind matters. - Shared Success: Annual profit distribution (subject to company performance and board decision - only for CLT contracts). - The Fun Stuff: Gatherings and annual trip to bond with the team. - Culture of Trust: A collaborative, lean, and self-managed environment where you have the autonomy to make an impact.

• Build high-quality, scalable mobile applications using Kotlin and modern frameworks like Jetpack Compose. • Design and implement robust architectures (e.g., MVVM) to ensure maintainable and extensible solutions. • Deliver smooth, intuitive user experiences through thoughtful UX patterns and fluid visual interactions. • Write clean, testable code and maintain strong unit and UI test coverage to ensure reliability. • Take full ownership of features from development through deployment and ongoing maintenance. • Collaborate closely with clients and cross-functional teams to deliver technically feasible, high-impact solutions. • Contribute to architectural and design discussions, shaping effective technical decisions. • Proactively identify, diagnose, and resolve production issues to maintain system stability. • Apply best practices such as test-driven development, continuous delivery, and performance monitoring. • Work autonomously while staying aligned with team goals, bringing a self-driven mindset and attention to detail.

• Developing performant, resilient and secure services/functions; • Building and handling asynchronous and event-driven workflows; • Creating testable code and making testing a priority; • Being passionate, self-driven and working with little supervision towards a common team or company purpose; • Being a vocal team player with the ability to challenge the technical landscape; • Caring about all the steps your code goes through from your machine to production; • Participating in architectural design decisions.

Role Description We're looking for a .NET BACKEND DEVELOPER to join our team! As a Backend Engineer you’ll be part of the development of core platform systems that expose data for desktop and mobile applications. We’re looking for engineers with an appetite for solving complex and interesting problems to world-class standards. HOW YOU’LL MAKE AN IMPACT: - Developing performant, resilient and secure services/functions; - Building and handling asynchronous and event-driven workflows; - Creating testable code and making testing a priority; - Being passionate, self-driven and working with little supervision towards a common team or company purpose; - Being a vocal team player with the ability to challenge the technical landscape; - Caring about all the steps your code goes through from your machine to production; - Participating in architectural design decisions. Qualifications - Minimum 6 years of experience in .NET development; - Knowledge of best practices in software development, including code reviews, testing methodologies, and CI/CD processes; - Experience in understanding of behaviour-driven development and domain-driven design; - Knowledge of Javascript/Typescript and SQL is a plus; - Experience with cloud platforms like Azure, AWS or GCP is a plus; - Testing at all levels and breaths and depths. You love TDD! - Practice and promote Agile methodology; - Experience with Git and pair programming; - Previous experience on fintech projects; - Fluency in English. Benefits - Permanent contract - Unlimited PTO - Flexible working hours - Training & conferences, create your own training plan - Work with large scale systems powering global businesses; - Most of all, you get to work with a bunch of great people, where the whole team owns the project together in a politics-free environment. Company Description At Mindera we use technology to build products we are proud of, with people we love. Software Engineering Applications, including Web and Mobile, are at the core of what we do at Mindera. We partner with our clients, to understand their products and deliver high-performance, resilient and scalable software systems that create an impact in their users and businesses across the world. Our culture reflects our lean and self-management attitude. We encourage our colleagues to take risks, make decisions, work in a collaborative way and talk to everyone to enhance communication. We are proud of our work and we love to learn all and everything while navigating through an Agile, Lean and collaborative environment. Check out our Blog and our Handbook! Our offices are located: Porto, Portugal | Aveiro, Portugal | Coimbra, Portugal | Leicester, UK | San Diego, USA | San Francisco, USA | Chennai, India | Bengaluru, India | Cluj-Napoca, Romania | Blumenau, Brazil | Casablanca, Morocco | Australia