AI Engineer

Required AI EngineerAs an AI Engineer, you will:Play a central role in advancing AI capabilities across the company and turning emerging AI technologies into practical, production-ready solutionsResearch and evaluate new AI technologies, identify valuable use cases and develop solutions that improve internal workflows, existing products and enable new AI-powered capabilitiesLead AI solutions end to end, from research and proof of concept to design, development and productionCollaborate closely with development, product and business teams to integrate AI models, agents, data and reusable AI services into existing systemsDesign and develop RAG, knowledge systems, AI agents and multi-agent workflowsEvaluate and benchmark AI models and solutions, balancing quality, accuracy, latency, throughput and costFind creative and practical solutions to complex technical and business challenges and help expand the companys internal AI ecosystemRequirements: If you have:At least 3 years of experience in software engineering, machine learning engineering, applied AI or a related technical roleStrong Python programming skills and experience building production-grade software, APIs and microservicesHands-on experience developing AI-powered applications and taking them from proof of concept to productionStrong understanding of LLMs and transformer architecturesExperience with RAG, embeddings and vector databasesExperience in developing AI agents, tool-using workflows, MCP integrations or similar technologiesExperience in evaluating and benchmarking AI models and solutionsFamiliarity with model-serving technologies such as vLLM, LiteLLM, SGLang, TGI or TritonWorking knowledge of Docker, Kubernetes, Helm, Linux, Git, CI/CD and GitOpsIt would be great if you also have:Experience with PyTorch, Hugging Face Transformers or similar frameworksExperience with fine-tuning techniques such as LoRA, QLoRA, SFT, preference optimization or distillationExperience with GraphRAG, knowledge graphs, code graphs or other graph-based AI systemsExperience optimizing model inference through quantization, batching, caching, parallelism or GPU-aware deploymentExperience with multimodal models, synthetic data generation or AI model evaluationExperience delivering AI solutions in security-sensitive, regulated, on-premises or disconnected environmentsB.Sc. in Computer Science or equivalent experience.This position is open to all candidates.