Senior AI Engineer

"u003cpu003eWe are hiring a Senior AI Engineer to join our team to lead the engineering and deployment of AI solutions for financial workflows. This role requires expertise in building robust, scalable AI systems and collaborating with cross-functional teams to align technical capabilities with business objectives.u003c/pu003eu003cpu003eu003c/pu003eu003cpu003eYou will provide technical leadership and hands-on expertise to design, build, and scale our core AI capabilities. This role requires large-scale system design, implementing enterprise-scale agentic platforms and application layers, rigorous safety and compliance guardrails, and managing the unique challenges of complex, agentic workflows. You'll collaborate closely with our engineering, product, research and customer teams to integrate advanced AI solutions directly into mission-critical financial applications. As we deploy sophisticated agents across diverse data environments, you'll play a central role in architecting the reasoning engines and retrieval systems that make it all possible.u003c/pu003eu003cpu003eu003cbru003eThis is an opportunity to work at the forefront of AI adoption in financial services, solving complex challenges and shaping the intelligence behind innovative enterprise solutions.u003c/pu003eu003ch2 class="mb-4"u003eKey Responsibilitiesu003c/h2u003eu003culu003eu003cliu003eu003cpu003eLead building and maintenance of Agentic AI Systems capable of delivering complex tasks such as navigating enterprise-scale inventories of structured and unstructured information sources, optimizing portfolio construction and evolving trading strategies in the financial industry.u003c/pu003eu003c/liu003eu003cliu003eu003cpu003eOwn development of APIs and integration points for AI services within our product ecosystem.u003c/pu003eu003c/liu003eu003cliu003eu003cpu003eEnsure AI models are secure, auditable, and compliant with industry standards.u003c/pu003eu003c/liu003eu003cliu003eu003cpu003eOptimize AI models and agentic pipelines for performance, latency, and resource utilization.u003c/pu003eu003c/liu003eu003cliu003eu003cpu003eImplement systems for model evaluation, monitoring, and continuous improvementu003c/pu003eu003c/liu003eu003cliu003eu003cpu003eTroubleshoot complex issues in AI systems and implement solutions.u003c/pu003eu003c/liu003eu003cliu003eu003cpu003eStay current with emerging techniques in AI engineering and LLM deployment.u003c/pu003eu003c/liu003eu003cliu003eu003cpu003eCollaborate with researchers and financial SMEs to translate prototypes and business requirements into technical solutions fully integrated with the rest of the platform.u003c/pu003eu003c/liu003eu003c/ulu003eu003ch2 class="mb-4"u003eWhat You Haveu003c/h2u003eu003culu003eu003cliu003eu003cpu003eBachelor's or Master's degree in Computer Science, Engineering, or related technical field.u003c/pu003eu003c/liu003eu003cliu003eu003cpu003e7+ years of experience in Software/ML/AI engineering, with a proven track record of delivering scalable AI solutions ideally on financial systems.u003c/pu003eu003c/liu003eu003cliu003eu003cpu003eSuperb Python programming skills and experience with data science libraries, e.g., NumPy, Pandas, Scikit-learn, writing efficient production-level code, which is well-written and explainable.u003c/pu003eu003c/liu003eu003cliu003eu003cpu003eProven track record of deploying and scaling AI models in production environments.u003c/pu003eu003c/liu003eu003cliu003eu003cpu003eIn-depth experience with large language models, transformer architectures, and generative AI. Good knowledge in at least one of the following applied machine learning fields: Recommender Systems, NLP, Information Retrieval, Causal Inference, Time Series, Knowledge Graph.u003c/pu003eu003c/liu003eu003cliu003eu003cpu003eExperience in infrastructure development for distributed systems and AI applications, proficient in cloud infrastructure, including AWS, Google Cloud, Azure. Additionally, well-versed in various data storage and warehouse solutions, such as Snowflake, Databricks, MongoDB, Oracle, SQL, and NoSQL databases.u003c/pu003eu003c/liu003eu003cliu003eu003cpu003eStrong understanding of MLOps practices and tools.u003c/pu003eu003c/liu003eu003cliu003eu003cpu003eSolid experience spanning the entire development stack, including Python, Docker, Kubernetes, and cloud platforms such as AWS, Azure, or GCP, confident in abilities to deliver cutting-edge solutions.u003c/pu003eu003c/liu003eu003cliu003eu003cpu003eExperience with modeling and implementing deep learning models by employing TensorFlow or PyTorch.u003c/pu003eu003c/liu003eu003cliu003eu003cpu003eKnowledge of pipeline and workflow management tools (Airflow, Argo Workflows, etc.).u003c/pu003eu003c/liu003eu003cliu003eu003cpu003eExperience with CI/CD tools (Jenkins, Travis, Argo CD, Terraform, etc.).u003c/pu003eu003c/liu003eu003cliu003eu003cpu003eAn independent, problem-solving approach, paired with a passion for data and a growth-mindset ready to tackle genuine challenges.u003c/pu003eu003c/liu003eu003cliu003eu003cpu003eAbility to collaborate effectively in cross-functional teams.u003c/pu003eu003c/liu003eu003c/ulu003eu003ch2 class="mb-4"u003eWhat Would Be Nice to Haveu003c/h2u003eu003culu003eu003cliu003eu003cpu003eExperience in the Financial Services industry (FinTech, Investment Banks, Fund Managers, etc.).u003c/pu003eu003c/liu003eu003cliu003eu003cpu003eKnowledge of distributed computing, large-scale model training, agentic framework design.u003c/pu003eu003c/liu003eu003cliu003eu003cpu003eExperience with real-time inference systems and low-latency AI services.u003c/pu003eu003c/liu003eu003cliu003eu003cpu003eActive contributor to open-source concepts or AI frameworks.u003c/pu003eu003c/liu003eu003cliu003eu003cpu003eKnowledge of vector and graph databases and knowledge graphs.u003c/pu003eu003c/liu003eu003c/ulu003eu003ch2 class="mb-4"u003eBenefitsu003c/h2u003eu003ch3 class="mb-4"u003eCompensationu003c/h3u003eu003cpu003eDomyn offers a competitive compensation structure, including salary, performance-based bonuses, and additional components based on experience. All roles include comprehensive benefits as part of the total compensation package.u003c/pu003eu003ch3 class="mb-4"u003eAbout Domynu003c/h3u003eu003cpu003eDomyn is a company specializing in the research and development of Responsible AI for regulated industries, including financial services, government, and heavy industry. It supports enterprises with proprietary, fully governable solutions based on a composable AI architecture - including LLMs, AI agents, and one of the world's largest supercomputers.u003c/pu003eu003cpu003eu003c/pu003eu003cpu003ePlease review our Privacy Policy here u003ca target="_blank" rel="noopener noreferrer" class="link" href="https://bit.ly/4tndszN"u003eu003cuu003ehttps://bit.ly/4tndszNu003c/uu003eu003c/au003e .u0026nbsp;u003c/pu003e"