Top Remote Jobs in Hungary

As a Staff/Senior AI Product Engineer, you will build AI-powered product features, enhance the tech stack, and design AI workflows while collaborating with product teams. Your focus will be on agent-native architecture and improving the codebase for AI agents.

Hands-on security engineering role to implement and operate security controls across servers, endpoints, cloud, network, and identity. Support vulnerability management, alert triage, incident response, DevSecOps integration, access management, compliance evidence collection, and collaborate with infrastructure, DevOps, and engineering teams to reduce risk and improve remediation.

As a Bid Coordinator, you'll coordinate responses to tenders and proposals, collaborating with internal teams to ensure timely, compliant submissions.

The Senior Benefits Administration Analyst will lead the implementation and optimization of benefit plans across the EMEA region, ensuring compliance and driving data analytics for program trust.

Designs, implements, and evaluates learning and talent management programs. Conducts training needs assessments, delivers ILT/VILT, manages LMS, analyzes HR and learning data, builds dashboards, and partners with HR/business leaders to drive development, career growth, and program improvements.

Design, implement, and support enterprise IAM, IGA, PAM, and machine identity solutions. Manage identity lifecycles, privileged access, PKI/certificate management, and service account governance. Automate processes with scripting, troubleshoot identity/authentication issues, and enforce Zero Trust and least-privilege principles across the organization.

Lead product roadmap and a small engineering/QA team for an acquired B2B SaaS brand. Own merchant-facing activities, onboarding, conversion and expansion motions, documentation and processes, and apply AI tooling across support, specs, docs, and analysis to drive growth.

Lead global indirect procurement for categories (Legal, HR, Finance); develop and implement category strategies, analyze spend and risks, manage supplier relationships, run tenders and negotiations (>US$500K), drive cost savings and TCO improvements, monitor KPIs, and guide sourcing managers while collaborating with stakeholders.

Open application for a remote, high-ownership role at a B2B agency focused on AI-era organic search. Responsibilities include running experiments, optimising content for LLMs and AI visibility, documenting learnings, using proprietary tools, collaborating async with clients and teammates, and improving processes to drive measurable search and content outcomes.

Lead and grow a senior Application Security engineering team; define AppSec strategy and roadmap; engage deeply on threat modelling, security architecture, agentic/AI-native tooling, SAST/SCA, vulnerability management and automation; embed security into the SDLC, coordinate with leadership and partner teams, and represent AppSec externally for compliance and customer interactions.

Own growth for a core product area end-to-end (acquisition, activation, adoption, retention). Partner with product, engineering, marketing and GTM to design growth into the product, build acquisition loops, define measurable outcomes, and rally cross-functional teams to hit funnel and activation metrics.

Build and deliver end-to-end frontend and backend features using React/TypeScript and Python/FastAPI. Write clean, testable production code, self-QA, address edge cases and performance, and contribute to AWS infrastructure, CI/CD, and deployments while collaborating with product and engineering teams.

Lead end-to-end application and product security for a Kubernetes-based multi-tenant platform. Perform deep security reviews of Go services, Kubernetes controllers, and frontends; lead threat modeling; integrate automated security checks into CI; manage vulnerability lifecycle; develop security-related features; and train developers on secure coding and attack vectors.

Lead design and implementation of a production-grade LLM inference platform: deploy and serve models on GPU infrastructure, optimize latency and cost with quantization/batching/caching/routing, build infrastructure in Python or Golang, operate serving frameworks (vLLM, SGLang, TensorRT-LLM), and own the inference roadmap working with CTO and Product.