Top Remote Jobs in Seville

Own and expand a portfolio of strategic accounts across the Nordics and Benelux. Responsibilities include developing account plans, managing the full sales cycle, acquiring new customers, converting warm leads, maintaining CRM records, achieving sales targets, and serving as a trusted advisor to senior stakeholders. The role also supports process improvements and mentors junior account managers. It is remote with occasional international travel.

Build and operate production AI products using generative AI, LLMs, RAG, vector search, and agentic systems. Develop scalable machine learning services, pipelines, APIs, infrastructure, and automated evaluation systems. Improve AI quality, reliability, security, performance, and cost while establishing engineering standards. Collaborate with Product, Engineering, Data Science, Data Engineering, and Analytics teams to deliver dependable customer experiences.

Assess the existing data landscape, identify risks and dependencies, and define a scalable target-state data architecture supporting business expansion. Design data platforms, warehouses, governance, quality standards, models, and REST API integrations across cloud, on-premises, and hybrid environments. Collaborate with technical and business stakeholders and support implementation and testing activities throughout the three-month project.

Own the cryptographic core: select and evolve MPC/TSS schemes, author protocol reviews, implement and review Rust/Go production crypto, lead audit responses, prepare incident fixes, publish and represent externally, and teach/mentor engineers while scaling the crypto function.

Lead enterprise Agentforce architecture and hands-on agentic AI engineering for European clients. Design agent workflows, configure Salesforce agents, integrate deterministic Apex and Flow logic, implement LLM orchestration, RAG, APIs, MuleSoft pipelines, security guardrails, and automated testing. Conduct technical discovery, advise enterprise stakeholders, and guide engineering teams through production deployments. This is a fractional, project-based advisory role requiring deep Salesforce architecture and advanced LLM engineering expertise.

Build scalable Python backend APIs, ML platforms, MLOps pipelines, and production LLM systems. Develop RAG and Generative AI workflows, model-serving infrastructure, feature pipelines, observability, prompt management, and multi-tenant architectures. Integrate Azure OpenAI, vector databases, OCR services, and enterprise systems while optimizing performance, reliability, security, and cost. Write maintainable, testable code; troubleshoot distributed applications; participate in design reviews and agile ceremonies; and collaborate with client-facing teams on technical requirements.

Build a model enablement platform for heterogeneous AI computing across AIPUs, CPUs, GPUs, NPUs, and other accelerators. Responsibilities include model ingestion, graph partitioning, compilation, runtime execution, performance profiling, memory and scheduling optimization, large-model offloading, and verification integrated into CI. The role combines architecture ownership with hands-on C++ and Python engineering across model frontends, compilers, runtimes, and application pipelines.

Designs and builds Notabene’s Go-based transaction platform for secure, scalable, multi-tenant crypto transfers. The role focuses on distributed systems correctness, PostgreSQL performance, cloud infrastructure, observability, auditability, and regulated-data security. The engineer owns production operations, writes technical designs, reviews code, mentors teammates, collaborates with product and compliance teams, uses AI coding agents, and participates in on-call rotations.

Owns installed-base growth across a B2B SaaS customer base through segmentation, upsell, cross-sell, ABM, lifecycle marketing, product marketing, advocacy, digital engagement, and customer events. The role generates expansion pipeline and ARR, supports adoption and retention, manages CRM-based campaigns and attribution, and provides commercial insights to leadership. It requires strong cross-functional collaboration with Product, Account Management, Customer Success, Finance, and Sales, plus AI-enabled execution and executive communication.

Own enterprise sales for AVEVA CONNECT, including pipeline generation, consultative opportunity development, complex deal closure, ARR growth, and commercial negotiations. Support customer onboarding, platform adoption, expansion planning, and value realization. Build senior stakeholder relationships, develop account strategies, share customer insights, and collaborate with product, marketing, customer success, partnerships, enablement, and regional sales teams to improve go-to-market execution.