Top Software Engineer Jobs in Seville

Develop and enhance a live drive-thru Voice AI product through software engineering, AI/LLM prototyping and fine-tuning, conversation analysis, system integrations, and customer requirements gathering. Build, test, deploy, and improve production features while evaluating real dialogs and collaborating with customers and internal stakeholders.

Maintain and evolve FAdmin, a mission-critical Ruby on Rails flyer processing system, and related Content Platform tools. Deliver roadmap features end to end, support service desk requests, use AI coding agents to improve delivery and code quality, write automated tests, participate in code reviews, and maintain CI/CD pipelines. The role requires production software development experience, relational database and SQL expertise, and strong English communication.

Build and operate full-stack systems for an AI-powered offensive security platform. Responsibilities include developing React frontends, TypeScript APIs, Kotlin and Go backend services, deploying on AWS, designing scalable systems, optimizing databases, supporting production, and owning features from concept through deployment. The role involves close collaboration with AI and security researchers in a fast-paced remote startup.

Build and improve reliable, user-focused product experiences across the frontend and backend. Partner with Product, Design, and Engineering to understand user needs, propose solutions, implement features, troubleshoot software, write documentation, and contribute to technical and product decisions. Develop tested JavaScript or TypeScript code using React, Node.js, and related technologies while continuously learning and taking ownership of increasingly complex problems.

Develop and deploy AI-powered 3D graphics solutions for desktop, web, VR, and AR applications using the Evergine engine. Build computer vision and spatial computing models, including NeRF, Gaussian Splatting, point-cloud processing, SAMv2, and GroundingDINO or FlorenceV2. Design scalable algorithms, integrate machine learning frameworks, and collaborate with research and engineering teams in an Agile environment.

Build AI-powered observability capabilities across Kibana interfaces, agentic investigation systems, telemetry detection pipelines, and evaluation infrastructure. Develop user-facing investigation workflows, agent tools, context and signal-generation systems, and offline and online evaluations. Collaborate with UX designers, product managers, and data scientists to improve autonomous root-cause analysis and remediation for SREs.

Develop and maintain Elasticsearch’s Inference API and plugin framework, integrating internal and external machine learning providers. Responsibilities include API and protocol design, streaming, asynchronous execution, rate limiting, billing integration, provider configuration, testing, open-source contribution reviews, and incident on-call support. The role requires advanced Java expertise, concurrency knowledge, API design skills, and collaboration across distributed engineering teams.

Architect, develop, and scale cloud services, dashboards, and data pipelines to support robotics and autonomous vehicle telemetry. Integrate IoT devices with Azure services, build APIs/microservices, implement observability and CI/CD, validate systems in lab and field, and mentor junior engineers.

Build and maintain developer tools across SDKs, React Email, CLI, MCP, integrations, and supporting backend services. Collaborate on APIs, compatibility, testing, releases, documentation, and shared tooling. Support developers through GitHub issues and pull requests while designing reliable interfaces, error handling, and backward-compatible experiences. The role also involves operating systems with authentication, retries, rate limits, queues, monitoring, and error recovery.

Build and ship native Android features for an AI Neobank using Kotlin. Design clean user journeys for financial services, integrate backend APIs, improve performance and reliability, use analytics to iterate, and implement on-device AI where it improves UX.

Build and operate Alan’s internal agentic AI platform, including web experiences, agent orchestration, secure connectors, isolated runtimes, automations, evaluations, and developer tooling. Own work end to end across React interfaces, APIs, infrastructure, reliability, security, and production operations. Collaborate closely with product teams and internal users to create trustworthy, inspectable AI workflows and scalable platform capabilities.

Build the Ops AI Platform from the ground up, developing reliable AI agents, agent tooling, internal tools integrations, evaluation systems, safety controls, and human-in-the-loop workflows. Scale automation from dozens to tens of thousands of daily tasks while influencing architecture, code quality, product direction, engineering culture, mentoring, and hiring.

Develop and maintain web applications, data-collection solutions, backend services, and dashboards supporting NATO defence-planning analysis. Integrate classified and unclassified data, perform Python-based ETL and preprocessing, develop visualizations with Python or Power BI, conduct testing and security-support activities, document architectures and APIs, engage stakeholders, provide training, and report project progress and risks.

Build and scale healthcare insurance products across claims management, insurance offers, and customer enablement. Design reliable systems, collaborate across teams, contribute to product decisions, mentor engineers, lead complex projects, and support hiring. Work with Python, JavaScript, React, React Native, PostgreSQL, and related web technologies in a product-focused engineering environment.

Builds software solutions for end users as a general full-stack engineer. The role emphasizes collaboration, ownership, accountability, fast-paced execution, adaptability, multitasking, rapid learning, and an ambitious, outcome-driven approach.

Build BLP’s core software across infrastructure, backend, machine learning, and product extension platforms. Responsibilities include operating secure and observable cloud infrastructure, developing performant distributed systems, applying AI to business problems, and enabling customer process automation. The role emphasizes formal reasoning, correctness by construction, maintainable systems, type systems, and functional programming. Work is available onsite in Zurich or remotely within Europe.

Architect and develop production-grade business systems across Salesforce, NetSuite, and integrated enterprise platforms. Build quoting, subscription, and entitlement engines; create automation pipelines and API integrations; establish architecture, security, documentation, and code-review standards; and translate commercial policies into scalable technical solutions. The role partners with Finance, Sales Operations, Customer Success, and product stakeholders while maintaining system reliability, auditability, observability, and production readiness.

Build and maintain Ergodic AI’s AI platform across back-end and front-end systems. The role involves developing with Python web frameworks and JavaScript/TypeScript, integrating with client technology stacks and workflows, applying AI, ML, and LLM concepts, and contributing to DevOps, cloud deployment, testing, and infrastructure practices. As an early-stage hire, the engineer will help shape the product and solve complex data and AI challenges.

Design and implement large-scale browser-based rendering infrastructure to execute and extract structured content from JS-heavy web apps. Improve rendering quality, performance, cost, and throughput at internet scale and productionize rendering research.

Build browser infrastructure and tooling to provide reliable, large-scale web access for an agent-native search platform. Research website-browser interactions, fingerprinting, client verification, and browser networking. Implement instrumentation, observability, debugging tools, and translate findings into production systems at internet scale.

Design, develop, and maintain high-quality web applications using CodeIgniter and PHP. Collaborate with cross-functional teams to define and ship features, ensure application performance and quality, identify and fix bugs, and maintain code quality and automation.

Build and ship reliable, scalable, production-quality software across the stack for an equity management and financial reporting platform. Responsibilities include developing user-facing features, working with product managers and designers, contributing to data models and workflows, participating in code reviews and architecture discussions, and owning medium-sized projects through release. Teams focus on equity logic, automation, reporting, or tax workflows.

Design and develop clean, maintainable software for automated document-processing products. Collaborate with business stakeholders to translate requirements into product improvements, conduct code reviews, guide technical direction, mentor colleagues, and improve engineering practices. The role uses Golang, MySQL, Docker, Kubernetes, cloud infrastructure, and GitHub CI/CD while emphasizing product ownership, clean architecture, software craftsmanship, and technical communication.

Build and own React Native features for Kraken’s consumer mobile app, from product discovery through launch, measurement, and iteration. Partner with Product and Design to create responsive, trustworthy financial experiences using dynamic or real-time data. Guide development for a new Asian-market app, including regional UX, connectivity restrictions, vendors, and telemetry. Contribute to architecture, performance, reliability, code reviews, and product engineering standards.

Owns the CI/CD and release infrastructure roadmap, technical vision, security gates, artifact provenance, and organizational adoption. Directs engineers through complex, multi-quarter projects, leads incident response for supply-chain and release issues, and raises engineering standards through mentorship and reviews. Remains hands-on with code, prototyping, debugging, and production issues while improving developer productivity, release safety, and infrastructure scalability.