Top Artificial Intelligence Jobs in Valencia

Leads research and thought leadership on AI-driven HR strategy, transformation, governance, workflow redesign, regulatory environments, and value realization. Produces actionable insights across written, visual, video, and presentation formats; advises CHROs and senior HR leaders; analyzes market trends, vendors, technologies, and client challenges; supports sales and conferences; mentors analysts; and improves research processes.

Own daily operations and quality assurance for an internal AI-powered growth platform. Test releases, rule changes, edge cases, and regressions; document and verify bug fixes; monitor platform and agent activity; manage approval queues; evaluate agent output; escalate risks; and maintain test plans, QA checklists, runbooks, and release notes.

Optimize LLM inference on modern GPUs by analyzing GPU execution, memory access, kernel performance, and system bottlenecks. Develop, debug, reverse-engineer, and optimize CUDA kernels and low-level GPU operations for matrix multiplication, attention, and neural network layers. Benchmark latency, throughput, and GPU utilization while working with inference frameworks such as vLLM, SGLang, TensorRT-LLM, Triton, and FlashAttention.

Build and productionize machine learning systems for classification, retrieval, ranking, personalization, and evaluation. Develop models and datasets, optimize accuracy, latency, cost, and reliability, and maintain training, inference, and deployment pipelines. Monitor production performance, debug issues, and ship improvements based on real-world feedback. Collaborate with engineering and product teams to deliver reliable AI-powered features.

Leads social media and content strategy across markets, owning editorial planning, content distribution, creator programs, community management, and performance analytics. Builds and operates AI-enabled content workflows, coordinates agencies and creators, and turns audience and channel data into measurable demand-generation decisions. Partners with brand, product marketing, performance, and country teams to scale platform-native content across TikTok, YouTube, Meta, and LinkedIn.

Designs secure, scalable, governed Generative AI and agentic architectures for enterprise environments. Responsibilities include defining reference architectures, selecting AI patterns, implementing RAG and vector retrieval, securing data and system access, establishing evaluation and observability frameworks, integrating AI with APIs, backend systems and cloud platforms, and guiding technical stakeholders and development teams toward production-ready solutions.

Designs and owns global digital marketing strategies across acquisition and customer expansion. Responsibilities include campaign architecture, paid media, ABM, nurture, conversion optimization, regional localization, budget allocation, performance analysis, marketing technology improvements, data hygiene, and AI-enabled campaign operations. The role makes commercial trade-off decisions to maximize pipeline and expansion revenue, collaborates with sales and creative teams, and defines account-level measurement frameworks.

Leads the GTM Systems function, owning the commercial technology stack, AI operating model, vendor lifecycle, systems roadmap, and adoption strategy. Manages five senior individual contributors across Salesforce, marketing/BDR, customer success systems, and web operations. Partners with executive stakeholders to identify automation opportunities, build reliable AI agents, measure business impact, and drive cross-functional change across the revenue organization.

Lead Kraken Pro’s social media strategy across X, Telegram, and other platforms. Create platform-native content, react quickly to crypto and trading trends, manage the content calendar, engage the community, translate product updates into compelling narratives, track performance, and optimize through experimentation. Partner with Legal and Communications to ensure accurate, compliant messaging across regions.

Lead and scale an AI-driven creative design team producing static advertising assets, photorealistic AI visuals, and video source materials. Own creative direction, production workflows, capacity planning, quality control, testing, performance analysis, and AI tooling research. Collaborate with marketers, media buyers, copywriters, producers, video editors, and engineering to develop high-performing paid-media creatives and scalable prompt, style, and automation systems.

Build and lead n8n’s internal AI and automation enablement function. Run recurring workshops, office hours, build-alongs, bounty hunts, hackathons, and dogfooding initiatives for technical and non-technical teams. Develop reusable templates, measure AI fluency and adoption, support cross-functional champions, and act as product owner for a safe internal automation playground. Partner with IT, Security, Data, and Solutions Engineering to define access, credential, and environment requirements.

Evaluate AI-generated customer service and technical responses for clarity, usefulness, natural language, technical accuracy, JSON validity, formatting, and guideline adherence. Provide clear feedback explaining evaluation decisions. The role requires multilingual fluency, coding knowledge, strong written communication, attention to detail, and consistent judgment. Experience with AI evaluation, quality assurance, APIs, structured data, customer service, software development, or technical writing is preferred.

Supports Account Executives throughout the sales cycle by leading technical discovery, solution design, demonstrations, workshops, proofs of concept, evaluations, and technical validation. Translates engineering, simulation, HPC, AI, and infrastructure requirements into Rescale recommendations, documents opportunities in Salesforce, resolves technical risks, supports negotiations, and ensures effective post-sale handoffs across Northern Europe.

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.

Lead applied research and system design for agent-native search: build multi-stage retrieval, ranking, and grounding methods for LLM-driven, iterative agent workflows; deploy high-throughput, low-latency production systems; define evaluation metrics; run experiments and mentor engineers.

Build and enhance RAG systems, AI components, backend services, data pipelines, and REST APIs under senior guidance. Write production code, tests, evaluation harnesses, documentation, and runbooks. Support AWS deployments using containers and CI/CD, investigate model failures, and contribute to architecture and client handovers. The role offers increasing ownership of technical components and decisions while working in distributed, customer-facing delivery teams.

Designs, tests, and integrates AI agents centered on Atlassian Rovo. Advises on agentic AI strategy, evaluates tools, develops custom Forge solutions, and connects systems through MCP, APIs, and connectors. Establishes governance, security, responsible AI, ROI metrics, and adoption practices while training technical and non-technical users. Requires Atlassian administration, generative AI, prompt engineering, RAG, agent evaluation, integration, consulting, and EU AI regulatory knowledge.

Design, implement, and optimize high-performance attention and foundational AI kernels for GPUs, NPUs, ASICs, and other accelerators. Build reusable attention-framework abstractions, profile workloads, develop benchmarks and correctness tests, analyze hardware and compiler behavior, and improve production inference performance. Collaborate with hardware and software teams, document designs, resolve ambiguous performance issues, and mentor engineers while supporting new accelerator architectures and AI workloads.

Leads an engineering track by empowering engineers, driving organizational and technical initiatives, improving collaboration with Product, and building a culture of ownership and continuous improvement. Responsibilities include managing ceremonies, hiring, onboarding, mentoring, performance management, career development, and scaling zero-to-one product initiatives. This is a people and organizational leadership role rather than a delivery management or hands-on technical authority position.

Lead Trade Nation’s data and AI strategy, with emphasis on deploying AI into business workflows and enabling measurable adoption. Own the data warehouse’s business-facing gold layer, semantic models, data quality, analytics engineering standards, and self-service analytics. Lead and develop data analysts while partnering with engineering, compliance, and senior stakeholders. The role requires financial services experience, strong SQL and data modelling skills, cloud data platform expertise, and the ability to deliver AI initiatives from concept through production.

Serve as the founding customer-facing engineer for Kimchi, leading product demonstrations, customer workspace setup, inference API integrations, model routing optimization, and governance policy implementation. Configure agent workflows, integrations, budgets, cost attribution, and access controls. Translate customer feedback into product improvements while identifying opportunities for revenue expansion. The role combines hands-on LLM and inference expertise with customer enablement and commercial thinking in a remote-first environment.

AI/ML Engineers will build and deploy AI-native products, autonomous agents, LLM applications, RAG systems, and production ML pipelines. Responsibilities may include integrating AI into crypto infrastructure and consumer products, fine-tuning and evaluating models, optimizing inference, and developing agentic workflows and machine-to-machine payment systems. Engineers will work end-to-end with high-ownership teams in fast-moving environments.

Serve as a technical-strategic partner for AI Decisioning customers, leading use-case delivery from discovery through go-live and expansion. Collaborate with engineers, executives, marketers, and IT stakeholders to define requirements, explore customer data, recommend marketing improvements, manage project risks, and develop delivery best practices. The role also contributes to AI Decisioning product strategy and requires customer-facing consulting, strong communication, and 10–25% travel.

Experiment with generative image and video models, build advanced ComfyUI workflows and automated pipelines, and create high-quality demos, examples, guides, and social content. Translate technical experimentation into engaging developer- and creator-facing material, rapidly evaluate new model releases, and collaborate with Growth, Product, and Engineering on launches and use cases.

Design and build production-grade agentic AI and ML solutions, including LLM and RAG systems, end-to-end data architectures, multi-agent workflows, guardrails, monitoring, and automated actions. Collaborate with engineering, project, and client teams to prioritize use cases, explain technical decisions, and deliver prototypes through production. Contribute to real-time data pipelines, AI evaluation, governance, and team knowledge sharing.