Senior AI​/ML Engineer Dublin, CA

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At Articul8, we build enterprise‑grade Generative AI solutions that help global organizations unlock new value from their data. Our platform is trusted by some of the world's most innovative companies, and we partner closely with customers to design, deploy, and scale AI solutions that deliver measurable impact.

We are seeking a Senior or Staff AI/ML Engineer to design, develop, and deploy AI‑driven solutions that solve real‑world problems  will develop machine learning models, algorithms, fine‑tune large language models (LLMs), and implement other AI functionalities while optimizing performance for production environments.

You will work directly with our customers to understand their requirements and collaborate closely with our Customer Success team to translate those needs into actionable tasks, implementing the solution into our platform. You will also work cross‑functionally with Product, Engineering, and Applied Research teams to create and deploy the most effective solutions at scale.

This role requires deep expertise in model architectures, AI/ML frameworks, cloud platforms, and software engineering best practices. For the Staff position, you must possess T‑shaped skills to develop end‑to‑end solutions, from model selection to layer architecture, modularized training and inference methods, agentic workflows, and production‑level code with thorough testing. Experience mentoring junior Data Scientists and/or AI/ML Engineers is highly desired.

• Design, develop, and deploy AI/ML models ranging from traditional ML regression algorithms to transformer‑based architectures.
• Train, fine‑tune, and optimize deep learning and LLM‑based solutions.
• Engage with customers to understand their needs and transform them into actionable tasks for developing new functionalities within the Articul8 platform.
• Collaborate with researchers, software engineers, and product teams to integrate new AI capabilities into our applications.
• Implement and evaluate state‑of‑the‑art automated testing and metrics to improve model accuracy and efficiency.
• Optimize models for both cloud and on‑premises environments to ensure low latency and high availability.
• Develop APIs and micro‑services to serve AI models in production.
• Stay current with the latest AI models, research, and best practices.
• Ensure ethical AI practices, data privacy, and security compliance.

• Master's or PhD in Computer Science, AI, Machine Learning, or equivalent engineering field.
• 8+ years of experience in AI/ML modeling development and deployment for the Senior role, 10+ years for the Staff role.
• Expert‑level programming skills in Python and ML frameworks like PyTorch.
• Experience with LLMs, NLP, computer vision, or reinforcement learning.
• Experience with ML modeling for multi‑dimensional, large time‑series datasets.
• Strong proficiency in containerization technologies including Docker and Kubernetes.
• Proficiency in data preprocessing and model evaluation techniques, as well as MLOps tools like MLflow and Kubeflow.
• 3+ years of experience with distributed computing frameworks (Spark, Ray, Dask).
• Experience deploying AI models on major cloud providers (AWS, GCP, or Azure).
• Excellent communication and teamwork skills.

• Experience as a technical lead, guiding junior engineers and data scientists throughout product life cycles, from proof of concept to model deployment.
• Experience in multi‑cloud AI deployments.
• Experience working on AI SaaS platforms.

• Problem Solving:
  Ability to break down complex problems into manageable components, devise creative solutions, and refine ideas based on feedback and evidence.
• Collaboration and Communication:
  Skill in working cross‑functionally—communicating clearly, offering constructive feedback, delegating responsibilities, and respecting diverse perspectives.
• Project Management and Prioritization:
  Demonstrated ability to juggle multiple projects, meet deadlines, and efficiently balance short‑term…