Top Software Engineer Jobs in Valencia

Build and deploy production LLM-powered agents that resolve health insurance questions, use member data and tools, interoperate with other AI agents, and support real-time voice conversations. Own evaluation datasets, automated quality monitoring, safety guardrails, and production optimization for resolution rate, answer quality, satisfaction, cost, and latency. Collaborate with care experts and product teams while contributing to technical direction and mentoring engineers.

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 cloud-based backend applications using Java and Spring Boot in a microservices environment. Responsibilities include designing RESTful APIs, integrating Kafka events, implementing features, testing, deployment, troubleshooting, code reviews, documentation, and collaboration with product, UX/UI, and engineering teams. The role supports digital twin solutions for ports and terminals and requires occasional travel.

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 high-volume payment services, write testable code, improve reliability and performance, investigate production issues, collaborate across product and engineering teams, and explore AI-enabled engineering tools to boost productivity.

Design and build the on-prem software stack for ModelVault appliances: containerized inference engines, model integration (LLMs/vision), deployment tooling, CLIs/GUI/APIs, OS and GPU setup, remote updates, telemetry, and collaborate with customers and founding team to iterate and scale the engineering org.

Build core components of a diagnostic and personalization platform: backend data pipelines, frontends, services for genomic data ingestion, ML model integration, APIs, and cloud infrastructure. Collaborate with product and ML teams, iterate on prototypes and MVPs, and make architectural decisions supporting scalability and reliability.

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.