AI Platform Engineer

Accountabilities: Design, develop, and maintain platform services, APIs, and SDK components that support machine learning and LLM development. Build and operate ML and LLM pipelines covering data ingestion, feature preparation, training, and related development workflows. Integrate AI workflows into production-ready pipelines, including document retrieval systems and vector databases. Develop orchestration components to support reasoning workflows and memory stores. Deploy predictive and machine learning models into scalable serving environments with autoscaling capabilities. Implement runtime monitoring and operational practices to maintain reliable AI services. Standardize and automate environment creation using infrastructure-as-code modules. Implement CI/CD practices that support efficient and repeatable deployment workflows. Apply appropriate security and compliance controls in collaboration with governance teams. Contribute to the reliability, scalability, and maintainability of the overall AI platform. Requirements: Bachelor's degree in a relevant technical field or equivalent professional experience. 2–4 years of experience in AI/ML, MLOps, platform engineering, or a closely related discipline. Working knowledge of major cloud service platforms and cloud-based infrastructure. Practical experience with infrastructure as code and CI/CD pipelines. Proficiency in at least one programming language and familiarity with machine learning frameworks. Understanding of machine learning and large language model development workflows. Experience working with production-oriented AI/ML systems, pipelines, or platform services. Familiarity with retrieval workflows, vector databases, model serving, or AI orchestration is beneficial. Strong problem-solving and troubleshooting skills, with an ability to work across application and infrastructure layers. Ability to work effectively in a fully remote environment and communicate clearly with technical and cross-functional stakeholders. Benefits: 100% remote work from anywhere in India. 12-month contract opportunity. Opportunity to work on scalable AI and LLM platform infrastructure. Hands-on exposure to cloud services, MLOps, infrastructure as code, CI/CD, and machine learning frameworks. Opportunity to contribute to production-grade AI systems, including model serving, retrieval, vector databases, and orchestration. Experience working on security, compliance, scalability, and platform reliability challenges