Top Artificial Intelligence Jobs in Bucharest

Own the lifecycle of AI products by translating business priorities into executable roadmaps, partnering with engineering and design, driving delivery, and incorporating user feedback. Lead client demonstrations, define and evaluate product metrics, coordinate cross-functional teams, and align product development with broader innovation strategy. The role requires strong product management, leadership, communication, analytical, agile, and user research skills.

Build Solidgate’s ML/AI function from the ground up, developing real-time payment routing models and production pipelines. Own the full ML lifecycle from experimentation and A/B testing through deployment, while solving modeling challenges involving large-scale transactional data. Partner with Product, Engineering, and Data Platform teams to deliver measurable improvements in conversion, approval rates, losses, and revenue.

Own the vision, roadmap, strategy, and backlog for technology products and automation across Private Bank Germany. Prioritize features, coordinate business and engineering stakeholders, elicit requirements, drive Agile delivery, support scaled Agile adoption, and guide teams across locations. The role also requires sustainability domain expertise, strong understanding of banking products and data, software development practices, testing, analytics, reporting, and responsible use of AI tools.

Leads OKX’s global marketing compliance function, building policies, controls, review and approval processes, monitoring programs, and regulatory change management for advertising, promotions, social media, influencers, affiliates, and product launches across CeFi and DeFi. Partners with Marketing, Product, Legal, Risk, and Compliance teams; manages incidents, supports audits, delivers training, and scales the compliance team and framework.

Serve as the bridge between AI and automation strategy, business needs, and technology delivery. Identify and prioritize use cases, conduct stakeholder workshops, define requirements and value cases, support roadmaps and agile delivery, measure business outcomes, and promote responsible AI adoption. The role also supports product rollout, training, communications, KPI tracking, and quarterly reporting across the organization.

Lead the engineering function on a remote consulting mission by setting technical direction, managing and mentoring engineers, driving the roadmap, overseeing complex delivery, improving engineering practices, and partnering with product and business stakeholders. The role requires hands-on technical leadership, architectural judgment, agile expertise, and evaluation of emerging technologies including cloud, AI, and blockchain.

Lead the engineering function for a growing technology company on a renewable consulting mission. Responsibilities include setting the engineering roadmap, managing and mentoring engineers, guiding architecture and technical decisions, leading complex projects, improving engineering practices, and collaborating with product and business stakeholders. The role requires hands-on technical involvement, strong software engineering expertise, and the ability to evaluate emerging technologies including cloud, AI, and blockchain. French fluency and strong English communication skills are mandatory.

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.

Own and operate the AI security runtime control plane across Azure, AWS, and GCP. Build inline AI enforcement, tune prompt-injection, data protection, tool-call, and agent access policies, and integrate security platforms with SIEM/SOC workflows. Lead L3 investigations, automated containment, cloud and Kubernetes security, DevSecOps controls, vendor evaluations, and closed-loop red-team remediation. The role requires automation, infrastructure-as-code security, multi-cloud identity management, incident response, and collaboration with technical leadership.

Provides L2 monitoring, triage, investigation, and escalation for AI and cloud security detections. Analyzes telemetry using KQL or SQL, maintains dashboards, and produces operational, compliance, and risk reporting. Investigates AI threats including prompt injection, jailbreaks, data leakage, agent hijacking, and unauthorized tool activity. Monitors Azure, AWS, and GCP posture, supports vulnerability and compliance remediation, documents cases, and partners with SOC, cloud, incident response, and engineering teams.

Architects and delivers enterprise AI, machine learning, generative AI, RAG, and agentic systems. Designs secure end-to-end architectures, integrates Claude and other models with ServiceNow, APIs, databases, cloud platforms, and workflows, and leads discovery, proofs of concept, and client delivery. Develops ML and NLP solutions, data pipelines, dashboards, evaluation frameworks, observability, governance, and responsible AI controls. Collaborates with stakeholders, engineers, consultants, and clients to operationalize reliable AI applications.

Build and scale secure, production-grade internal AI platforms, agents, MCP integrations, automation tools, and multi-agent workflows. Design cloud infrastructure, integrations, governance, security controls, and cost optimization systems for organization-wide AI adoption. Partner with engineering and business teams, establish AI standards, measure productivity impact, and support adoption across an international organization.

Owns quality verification for AI-assisted migration of legacy desktop financial applications to modern web solutions. Responsibilities include designing test strategies, defining traceable behavioral specifications, developing automated quality gates, testing REST APIs and web front ends, validating data against legacy systems, measuring test effectiveness, conducting acceptance testing, and delivering knowledge transfer to client engineering teams.

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.

Lead Nuitee’s agentic AI strategy and capabilities for searching, booking, paying for, modifying, and canceling hotel stays. The role combines hands-on software engineering, product development, technical leadership, commercial opportunity identification, and team building. Reporting to the CEO, this leader will design secure agent-native APIs and MCP tools, improve transaction reliability, and take new products from concept to production across Nuitee’s travel infrastructure.

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.

Own LLM and VLM enablement on Axelera AI hardware, from studying and profiling models through productionizing them in the Voyager SDK. Responsibilities include PyTorch references, quantization, weight mapping, model contracts, pipeline integration, KV-cache management, multimodal serving, accuracy validation, and bring-up platform development. The role also shapes GenAI, agent, and speech capabilities for edge devices.

Direct AI micro-drama production from script review through final episode approval. Responsibilities include evaluating storylines, emotional impact, hooks, and cliffhangers; directing AI video creators on cinematic execution; reviewing edits; maintaining visual consistency; improving production workflows; and using audience retention data to guide future episodes.

Lead the AI architecture for Productboard Insights, designing agent-native systems, context infrastructure, self-healing workflows, evaluation processes, and AI code-review optimization. Own technical direction across Insights, Spark, and platform teams; drive features from concept through beta; optimize quality, latency, cost, and reliability; write production code; and develop engineers through documentation and reviews.

Develop scalable, responsive front-end applications using Vue.js and TypeScript. Build accessible, reusable Storybook components, integrate REST APIs and WebSockets, optimize performance, and contribute to architecture, engineering standards, code reviews, and mentoring. Experience with mapping technologies, geospatial data, large datasets, real-time applications, accessibility, design systems, and CI/CD is valuable.

Build and own AI models, data pipelines, evaluation suites, and AI product features for construction procurement software. Develop document extraction and workflow automation using generative AI, LLMs, RAG, and optimization algorithms. Design complex data models, integrations, backend services, and production systems using Go, GraphQL, PostgreSQL, and AWS.

Lead design and build of an end-to-end AI contract-review agent: prompt orchestration, RAG pipelines, fine-tuning, web UI and tooling, data/model infra, deployment (CI/CD/cloud), and product-driven features like assumption mapping and contract diagnostics.

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.

The AI Engineer will build data pipelines and improve ML systems for reliability in production. Responsibilities include schema design, data infrastructure, and model evaluation, ensuring high-quality outputs and integration with product workflows.

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.