Top Artificial Intelligence Jobs in Bucharest

Lead Chainguard’s European government affairs and public policy strategy across the UK and Europe. Engage regulators, governments, standards bodies, and industry coalitions; develop policy positions and consultation responses; translate cybersecurity regulations into product, positioning, and customer implications; and establish a scalable policy function. The role requires senior stakeholder engagement, technical policy communication, frequent regional travel, and eventual team-building responsibility.

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.

Write and edit high-quality long-form content about AI, enterprise technology, infrastructure, and related topics. Research complex subjects, develop original viewpoints, and create articles, whitepapers, reports, case studies, thought-leadership pieces, website content, and marketing assets. Translate technical concepts into compelling narratives for technology leaders, IT professionals, business audiences, and executives. Collaborate with subject-matter experts and marketing and SEO teams while adapting content to different formats and audiences.

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.

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.

Design and optimize model-serving architectures and inference pipelines for high-throughput, low-latency AI performance on mobile, edge, and GPU-cluster environments. Develop custom GPU kernels and Metal shaders, benchmark production systems, diagnose computational and memory bottlenecks, and implement techniques including parallelism, quantization, pruning, FlashAttention, KV caching, and speculative decoding. Collaborate cross-functionally to integrate scalable inference solutions and continuously improve performance.

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.

Drive business development and close high-value enterprise deals with global biotech and biopharma accounts across Europe. Own strategic customer relationships, deliver recurring revenue, partner with technical and customer success teams on complex proposals, provide market insights for product direction, build industry credibility, and improve enterprise sales processes and playbooks.

Lead the design and implementation of Procurement Operations target operating models, improving end-to-end source-to-pay processes, controls, user experience, workflow, automation, data, and AI capabilities. Translate procurement needs into technology and operational requirements, define ownership and business rules, coordinate with technology, risk, data, and change teams, support adoption, and drive performance measurement and continuous improvement across global procurement services.

Leads the design, implementation, and continuous improvement of procurement operations and target operating models. Reviews source-to-pay processes, defines business rules and requirements for workflow, automation, data, and AI solutions, and coordinates with technology, risk, control, and change teams. Establishes performance measures, supports adoption, and owns sustainable business-as-usual operations while driving service quality, controls, and stakeholder alignment.

Leads research and production development of generative AI and large language model systems for cybersecurity. Responsibilities include defining AI research strategy, developing novel reasoning and summarization approaches, selecting model architectures and deployment strategies, building large-scale production systems, mentoring scientists, establishing evaluation standards, and guiding cross-functional technical initiatives. The role also represents the company through publications, speaking engagements, and technical thought leadership.

Lead customer deployments of Kubernetes and vCluster on bare-metal GPU infrastructure, configuring GPU nodes, networking, storage, RDMA, and InfiniBand. Validate production-ready managed Kubernetes environments, troubleshoot complex infrastructure, transfer operational knowledge, document reusable deployment playbooks, and provide feedback to Engineering and Product. Support pre-sales proof-of-value engagements and help AI cloud and factory customers independently operate and scale their platforms.

Designs solution architectures and technical designs for production-grade GenAI initiatives in Wholesale Banking. Responsibilities include guiding development squads, defining LLM and RAG integration patterns, identifying reusable components, enforcing technical standards, maintaining architecture artifacts and roadmaps, and ensuring secure, reliable, resilient applications. The role collaborates with stakeholders across Europe, Asia, and the US and supports discovery through productization of AI solutions.

Manage multi-country payroll operations, compliance, audits, controls, vendor relationships, payroll analysis, and process improvements. Lead payroll system automation and scalability initiatives while ensuring accurate and timely processing across jurisdictions. Partner with finance, HR, treasury, and external providers, monitor regulatory changes, and mentor a global payroll team in a distributed technology environment.

Develop and maintain Python backend services and APIs using AWS. Design event-driven workflows with Step Functions, integrate LLMs through AWS Bedrock, and build scalable, highly available systems. Work with microservices, Docker, Kubernetes/EKS, Kafka, databases, observability tools, and RAG frameworks. Collaborate with product, frontend, and data teams to deliver AI-powered solutions, including complex workflows that combine structured logic with LLM reasoning for enterprise and regulated-industry environments.

Lead a small engineering team building and shipping AI-powered SaaS features. Set technical direction, establish standards for observability, testing, security, scalable architecture, and AI evaluation, while managing delivery timelines and team development. Remain hands-on by designing and implementing production AI systems using LLMs, embeddings, RAG, vector databases, and related tooling. Partner with Product and leadership on prioritization, architecture, resourcing, and risk management.

Own the roadmap, release objectives, backlog, and product vision for AI annotation tools. Translate stakeholder and user needs into actionable epics, user stories, acceptance criteria, and test scenarios. Prioritize work, coordinate agile delivery, monitor product metrics, manage risks and trade-offs, and communicate progress to stakeholders. Collaborate with engineering and leadership to deliver secure, efficient AI solutions for defense, aerospace, and civil aviation applications.

Build modular, config-driven AI video pipelines for mobile gaming advertisements. Integrate generative image, video, text-to-speech, and talking-head models; orchestrate fal.ai jobs with retries, webhooks, resumable execution, rate-limit handling, and cost tracking. Use FFmpeg to assemble clips, subtitles, overlays, audio, and multiple aspect ratios. Document workflows so marketing teams can operate them without coding and collaborate with creative specialists.

Design, build, deploy, and optimize production LLM agents, MCP servers, RAG and memory architectures, and multi-agent orchestration systems. Develop AI solutions using Amazon Bedrock or Microsoft Foundry, establish evaluation and monitoring frameworks, implement guardrails, analyze failures, and collaborate on scalable AI products. Requires strong experience with agent frameworks, production deployments, cloud AI services, Docker, and CI/CD.

Join Welo Data’s Hungarian contributor network for flexible, remote AI data projects. Depending on project needs, contributors may annotate text, images, or audio; evaluate search results, advertisements, or chatbot responses; create and test prompts for large language models; and assess cultural and linguistic accuracy. Projects vary from several days to weeks, with scope, timelines, and compensation provided before participation.

Build and maintain PHP and Laravel backend services and APIs for a major product release. Own features from design through deployment and monitoring, integrate agentic AI workflows and LLM-based tooling, optimize performance and reliability, improve security, and mentor engineers. Collaborate independently with a cross-functional team on ambiguous technical challenges while delivering production-ready software.

Build and own production agentic AI runtime components, including context construction, retrieval and tool orchestration, ranking, scoring, guardrails, multilingual quality, latency and cost optimization, and evaluation systems. Diagnose production failures through traces and improve agent reliability for customer-facing commerce applications.

Build and maintain PHP and Laravel backend services and APIs, owning features from design through deployment and monitoring. Integrate agentic AI workflows, LLM APIs, tool-calling pipelines, retrieval, and autonomous agents into products and internal tools. Improve performance, reliability, security, testing, and code quality while mentoring engineers and collaborating independently on ambiguous technical problems.