AI Engineer

• Design and guide production-ready Generative AI solutions for clients from discovery through implementation
• Lead architecture and delivery of Generative AI solutions
• Guide development teams on relevant tools, frameworks, and platforms
• Translate business requirements into application, service, and target-state architectures
• Own scalability, performance, latency, observability, security, and cost optimisation across AI solutions
• Lead technical design and code reviews
• Define adaptation approaches including prompting, RAG, fine-tuning, or distillation
• Own evaluation strategies including golden datasets, offline and online evaluation, LLM-as-judge, and CI regression testing
• Set retrieval quality standards for chunking, hybrid search, reranking, query rewriting, and permission-aware retrieval
• Define AI security, privacy, Responsible AI, and governance controls
• Own solution economics through model routing, caching, batching, and capacity planning
• Support enterprise architecture standards and assess technology solutions
• Supervise vendor developers and mentor engineers and junior architects
• Support business development by identifying and researching client opportunities
• Improve internal design and development practices and maintain documentation
• Build internal relationships and strengthen the firm's reputation

AI Architect

• Lead Acumatica’s next phase of transformation in the AI era
• Lead enterprise-wide transformation initiatives across AI-enabled product innovation and engineering productivity
• Partner with platform, AI/ML, product, and application engineering leaders to accelerate AI adoption
• Shape how Acumatica builds and delivers software in the AI era
• Drive adoption of AI across products and workflows
• Define and scale AI-powered product capabilities
• Guide application teams in using AI building blocks, orchestration infrastructure, and platform services
• Influence application architecture, design patterns, and engineering practices for scalable AI adoption
• Identify and deliver high-impact customer AI scenarios
• Transform the engineering lifecycle through AI-assisted development practices
• Identify opportunities to improve productivity, engineering quality, and delivery efficiency using AI
• Drive modern engineering practices across business analysis, development, and QA teams
• Evolve how software is designed, built, tested, and maintained at scale
• Define and influence long-term AI and engineering transformation strategy
• Evaluate emerging technologies, industry trends, and competitive movements
• Align technical strategy with customer and business priorities
• Provide hands-on technical guidance, architectural leadership, and mentorship
• Align stakeholders, build consensus, and drive execution across organizational boundaries
• Represent Acumatica externally with customers, partners, analysts, and at industry events and conferences

Distinguished Engineer – AI, Engineering Transformation

• Own the quality of AI-generated visual content, creating realistic, attractive and consistent images of models/personas
• Continuously improve realism, visual polish, approval rate and business performance
• Build and optimize scalable generative AI pipelines using Nano Banana Pro, Flux, ChatGPT, ComfyUI, WaveSpeed and other AI platforms
• Automate content production at scale through batch generation and processing workflows with ComfyUI, n8n, APIs, simple scripts and vibecoding
• Define the technical direction for AI image generation and align different content streams
• Establish best practices and help transition from one-off generation to a reliable production system
• Explore and test new AI models, tools and techniques
• Evaluate business value and implement solutions that improve speed, quality, scalability or cost efficiency

AI Engineer jobs in Serbia

AI Architect

Distinguished Engineer – AI, Engineering Transformation

Lead AI Generative Designer