Top Artificial Intelligence Jobs in Romania

Develop and maintain enterprise AI-enabled full-stack web applications under senior guidance. Build React and TypeScript frontend features, support Node.js, NestJS, or Python backend services, integrate LLM capabilities, and help move proofs of concept into production. Write tested code, participate in code reviews and Agile ceremonies, work with SQL and NoSQL databases, and support AWS cloud deployment and operations. The role includes mentorship and requires working from the Cluj office at least three days per week.

Build finance dashboards, KPIs, and standardized reporting in Power BI; develop SQL data transformations; automate reporting with Python, Power Automate, and RPA; and improve governed datasets, data quality, and analytics workflows. The role partners with Finance and technical stakeholders, supports cloud and on-premises data movement, applies LLMs responsibly, and contributes to AI/ML use cases such as anomaly detection, forecasting, and intelligent automation.

Design, build, deploy, and evaluate generative and agentic AI prototypes, MVPs, and scalable components. Collect and prepare datasets, assess LLM application performance, develop RAG and LLMOps automations, and collaborate with data scientists, software developers, cloud experts, and domain teams. The role also involves documenting best practices, managing emerging AI risks, and sharing knowledge through workshops and technical content.

Join Welo Data’s Swahili contributor network for potential remote AI projects involving text, image, or audio annotation; search, advertising, or chatbot evaluation; prompt creation; and cultural and linguistic accuracy review. Applicants must be native or near-native Swahili speakers based in Kenya, Tanzania, or the Democratic Republic of Congo, with English proficiency, digital-tool comfort, and strong attention to detail. Projects vary in duration and compensation, with details provided before participation.

Develop AI-driven products through hands-on software development and product engineering. Build minimum viable products, solve problems creatively, and help shape future AI applications. The role is available remotely or in Boston and Chicago, with contract options ranging from two weeks to three months or full-time, plus potential revenue sharing.

Own the Vault product roadmap and lifecycle for a sports media asset platform. Lead discovery with customers, define solutions for content ingest, storage, integrations, AI enrichment, metadata, search, rights, and asset monetization. Partner closely with engineering, sales, and customer success, attend customer events, and prioritize product bets that help sports organizations maximize the value of extensive media archives.

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.

Build and maintain Java and Spring Boot backend services, REST APIs, and business-critical workflows. Integrate LLMs and AI agents with databases, APIs, knowledge sources, and external business systems. Develop secure, validated, observable, and testable agent workflows with permissions, human approval, monitoring, and error handling. Contribute to architecture, code reviews, troubleshooting, and technical decisions while collaborating with product and engineering teams onsite in Bucharest.

Own HR support across recruitment, employee and manager advisory, HR projects, organizational transformations, and AI enablement. Responsibilities include sourcing and interviewing candidates, supporting talent reviews and pay transparency initiatives, improving HR processes, advising managers on people matters, and representing HR leadership when needed. The role is fully remote and requires independent management of varied, ambiguous work.

Optimize LLM inference performance on modern GPUs by analyzing GPU architecture, memory access, kernels, and bottlenecks. Develop, debug, and reverse-engineer CUDA kernels; optimize matrix multiplication, attention, and neural network operations; benchmark latency, throughput, and utilization; and work with inference frameworks such as vLLM, SGLang, TensorRT-LLM, Triton, and FlashAttention.

Own the full enterprise sales cycle for AI and MarTech solutions, from prospecting through contract negotiation and closing. Build relationships with high-value customers, lead discovery and value-based conversations, exceed revenue and logo targets, and drive account expansion and ongoing success. Collaborate across sales, marketing, product, and other teams while representing customer needs and informing the product roadmap.

Design and build agentic AI platform capabilities, cloud-native enterprise applications, infrastructure, IaC, and CI/CD pipelines. Deploy and operate secure, governed solutions in regulated enterprise environments, integrate AI with legacy systems, and collaborate with architects and engineering leaders. The role requires strong software engineering, cloud engineering, agent platform development, technical leadership, and stakeholder management skills.

Build and deploy practical AI solutions by integrating cloud AI services, third-party LLMs, and intelligent agents into scalable microservices and workflows. Translate business needs into secure, maintainable AI products, establish CI/CD pipelines, monitor deployments, document architectures, and support responsible AI practices. Collaborate with data scientists, architects, engineers, DevOps, and SRE teams while rapidly developing proofs of concept and automation solutions.

Lead and scale an AI-driven creative design team producing performance marketing assets for paid media. Own creative direction, production workflows, quality control, testing, and performance-driven iteration. Develop AI tool expertise, prompt and style libraries, and automated workflows with engineering partners. Collaborate with marketers, media buyers, copywriters, producers, and video editors while remaining hands-on with design and AI tools.

Leads and scales an AI-driven creative design team producing performance marketing assets. Owns creative direction, production workflows, quality control, testing cycles, AI tool research, prompt libraries, and cross-functional collaboration. Creates and evaluates static ad concepts for paid media, uses performance data to improve results, and partners with engineering on AI pipelines and automation. Requires strong visual design, project leadership, AI tooling, and performance marketing expertise.

Designs enterprise agentic AI architectures, evaluates platforms and buy-versus-build options, develops hands-on proofs of concept, and establishes secure, observable AgentOps/LLMOps lifecycles. The role requires integrating agents with APIs, MCP, and enterprise data, incorporating governance and AI risk controls, and converting prototypes into reusable production capabilities. The architect collaborates with senior stakeholders, provides decision-ready recommendations, and transfers knowledge through documentation, walkthroughs, and pairing.

Create short films and videos using AI photo and video generation tools. Edit AI-generated content, develop concepts with marketing teams, maintain brand alignment, experiment with creative formats, and deliver engaging content for Tether and affiliated brands. The role requires video production and editing expertise, strong storytelling and visual composition skills, familiarity with digital marketing and social media, and the ability to manage multiple projects independently under tight deadlines.

Designs and governs enterprise AI solution architectures, integrations, standards, security controls, and operating models. Owns the Langdock AI platform, develops its roadmap, supports business groups with AI use-case implementation, evaluates emerging technologies, and leads group-wide initiatives. The role also manages vendors, drives user adoption, ensures regulatory compliance, and translates business requirements into scalable AI solutions across international teams.

Analyzes and governs cloud and AI costs, usage, budgets, forecasts, allocations, and unit economics. The role develops tagging standards, cost models, dashboards, alerts, and optimization initiatives; identifies anomalies and savings opportunities; automates reporting and data collection; and communicates actionable insights to technology, finance, procurement, and management stakeholders.

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.

Develop and maintain AI and machine learning models, contribute to projects from scoping through release, optimize prompts, and support system performance and reliability. Collaborate with cross-functional teams and experienced engineers to deliver business-focused AI solutions. The role involves LLMs, generative AI, cloud platforms, experimentation, and emerging techniques such as retrieval-augmented generation.

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.