GenAI Cloud Developer at Elastic

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

11 Apr, 26

Salary

0.0

Posted On

11 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Cloud Architecture, MLOps, Backend Engineering, AI/ML Model Integration, Generative AI Models, Natural Language Processing, Deep Learning Frameworks, Python, TypeScript, DevOps, Kubernetes, Data Management, Model Training, Performance Optimization, Security, Collaboration

Industry

Software Development

Description

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. 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. Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes encryption software and technology that is subject to U.S. export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Russia, Syria, the Crimea Region of Ukraine, the Donetsk People’s Republic (“DNR”), and the Luhansk People’s Republic (“LNR”). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement.

Responsibilities

The GenAI Cloud Developer will contribute to the AI strategy by designing and implementing AI infrastructure and custom solutions. They will also manage cloud-based infrastructure for AI model training and deployment.