GenAI Cloud Developer

What is The Role

The Elastic IT team is driving innovation by building and integrating Generative AI capabilities to boost workforce productivity. We're expanding our team of skilled builders to help design and deliver Elastic-powered AI solutions that transform the way we work. Are you inspired by this mission and eager to start building the future of work at Elastic with us?

We are looking for an experienced and innovative GenAI Cloud Developer to join our IT GenAI team. The role blends expertise in cloud architecture, MLOps, backend engineering, and AI/ML model integration. You will be a hands-on contributor to the IT GenAI roadmap. You will partner across IT to identify, design, implement and run a portfolio of GenAI solutions that will be used across our organization.

What You Will Be Doing

• Be a primary contributor to our AI strategy, helping design and implement AI infrastructure, custom solutions and third party SaaS offerings
• AI Model Development: Design and develop generative AI models using leading, innovative techniques and frameworks (e.g., Azure OpenAI, GPT-4, BERT) to generate text, images, audio, or other media content.
• Cloud Infrastructure: Set up and manage cloud-based infrastructure (e.g., AWS, Azure, Google Cloud) for training, deployment, and scaling of AI models.
• Data Management: Collect, preprocess, and manage data for training and fine-tuning AI models, ensuring data quality and security.
• Model Training: Train and fine-tune AI models, optimize hyperparameters, and monitor model performance.
• Deployment: Deploy AI models to the cloud, create APIs, and integrate them into applications and services.
• Performance Optimization: Continuously monitor and optimize the performance and scalability of AI models running on cloud infrastructure.
• Documentation: Maintain comprehensive documentation of AI models, cloud infrastructure, and deployment processes.
• Security: Implement protocols for security and data privacy to protect sensitive information and ensure compliance with relevant regulations.
• Collaborate with cross-functional teams, including IT Engineering, IT Operations, Data & Integrations, PMO, CRM, Risk & Compliance, business technology, among others.
• Stay ahead of the latest work in AI and make technical recommendations to the organization.

What You Bring

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Proven experience in developing generative AI models, including Natural Language Processing (NLP) or computer vision models.
• Proficiency in deep learning frameworks such as Microsoft Cognitive Services, TensorFlow, PyTorch, or Hugging Face Transformers.
• Knowledge of the Elastic stack and solutions including Elasticsearch Relevance Engine (ESRE), Elastic Learned Sparse EncodeR (ELSER), Retrieval Augmented Generation (RAG)
• Proficiency in Python, TypeScript, or other programming languages used in AI
• Proven success in delivering independent projects that demonstrate AI / GenAI skills.
• Frameworks: Langchain, LangGraph, LangSmith
• LLMs: Azure OpenAI, Vertex AI, ChatGPT Enterprise or similar
• Experience with Cloud platforms (Azure, GCP, AWS)
• Thorough understanding with DevOps/automation/CI/CD tools: GitHub, Terraform
• Experience with Kubernetes Operators & Controllers development
• Strong problem-solving skills and the ability to work in a dynamic and fast-paced environment.
• Excellent communication and collaboration skills.
• Familiarity with ethical AI practices and responsible AI development.