Top Artificial Intelligence Jobs in Romania

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.

Analyzes channel and business processes, identifies inefficiencies, gathers cross-functional requirements, and helps implement automation, AI, and integrated technology solutions. Conducts data analysis, facilitates stakeholder meetings, monitors solution effectiveness, and recommends process improvements. The role supports Channel growth within Honeywell’s Industrial Automation business and requires collaboration across systems, data, and functional teams.

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 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.

Develop and maintain secure, scalable enterprise software using .NET and C#. Apply AI throughout design, coding, testing, debugging, and code review while ensuring production quality, security, performance, reliability, and maintainability. Collaborate with solution analysts and engineers, validate features against acceptance criteria, resolve issues, and improve AI-native engineering practices. Contribute to architecture, APIs, integrations, automated testing, CI/CD, internal tools, and developer productivity initiatives.

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.

Build and operate enterprise-grade generative AI web applications across the full stack. Develop React and TypeScript frontends, Node.js or Python APIs, LLM integrations, and scalable cloud infrastructure. Own features from proof of concept through deployment, monitoring, and production operation while working with SQL and NoSQL data stores. Collaborate in Agile teams and apply engineering practices focused on security, reliability, maintainability, and scalability.

Design, build, deploy, and operate enterprise-grade full-stack applications incorporating generative AI and LLM capabilities. Lead technical delivery from proof of concept through scalable production systems, ensuring security, reliability, maintainability, and testability. Develop APIs and frontend applications, contribute to testing and observability, establish engineering standards, and collaborate across product, architecture, security, and platform teams. Provide technical guidance and mentorship while delivering cloud-native AI solutions.

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.

Designs, develops, tests, and operates generative AI applications for financial data and analytics. Builds AI agents, integrates LLMs with enterprise data and applications, implements orchestration workflows and guardrails, and develops evaluation and monitoring processes. Creates lightweight web interfaces, supports cloud and on-premise deployments, and partners with Finance and Data/BI stakeholders to deliver forecasting, anomaly detection, automation, and decision-support solutions.

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.

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.

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.

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.

Design and deploy AI microservices and LLM-powered applications using Python, REST/gRPC, Docker, and Kubernetes. Build RAG, hybrid search, agent, fine-tuning, quantization, evaluation, and prompt-guardrail systems. Monitor model quality, latency, cost, and security while integrating databases and SIEM/SOC platforms. Establish MLOps, testing, observability, and compliance standards for high-security public-safety environments. Collaborate with security teams on CJIS and FedRAMP audits, with optional travel to Japan and the United States.

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.

Design, develop and operationalise GenAI-enabled web applications. Collaborate with AI teams to turn prototypes into production, implement frontend and backend features, apply prompt engineering and RAG, and establish development best practices in an Agile, hybrid environment.

Join Welo Data’s Swedish AI Trainers Network as a flexible, remote contributor. Participants may annotate text, images, or audio; evaluate search results, advertisements, and chatbot responses; create prompts; and review cultural and linguistic accuracy for AI systems. This is a talent community rather than an active opening. Projects vary from several days to weeks, with scope, timelines, and compensation provided before participation.

Join Welo Data’s remote Kyrgyz contributor network for potential AI data projects. Depending on skills, contributors may annotate text, images, or audio; evaluate search results, advertisements, or chatbot responses; create prompts for large language models; and review cultural and linguistic accuracy. Projects vary from several days to weeks, with scope, timelines, and compensation provided before each assignment. This is a talent-community opportunity rather than an active job opening.

Join Welo Data’s Romanian contributor network for flexible, remote AI projects. Potential work includes annotating text, images, or audio; evaluating search results, advertisements, and chatbot responses; creating prompts; and reviewing cultural and linguistic accuracy. Applicants need native or near-native Romanian, English proficiency, digital tool comfort, attention to detail, and residence in Romania or Moldova. This is a talent network rather than an active opening, with project scope, timelines, and compensation provided when opportunities arise.