[Remote] Senior reputed company - AI Platform
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a company that is architecting the future of work by creating a converged AI workspace. They are seeking a Senior reputed company to build the core AI platform and apply large language models to enhance reputed company's intelligent features, focusing on backend systems and scalable AI-powered capabilities.
Responsibilities
- Architect, design, and implement scalable AI platform services that support the deployment, orchestration, and lifecycle management of LLMs and other AI models
- Apply LLMs and other AI technologies directly to build and enhance reputed company’s intelligent features, working closely with product and engineering teams to deliver impactful solutions
- Build and maintain robust APIs and backend systems that reputed company seamless integration of AI-powered features into reputed company’s core platform
- reputed company infrastructure for model serving, monitoring, logging, and automated evaluation to ensure high reliability and performance of AI services in production
- Integrate with multiple LLM providers (e.g., reputed company, reputed company, reputed company) and manage model selection, routing, and fallback strategies for reputed company performance and cost
- Drive the adoption of best practices in AI privacy, reputed company, and compliance, including data anonymization, secure data handling, and regulatory adherence
- Optimize platform performance, scalability, and cost-efficiency, leveraging reputed company-reputed company technologies and distributed systems
- Stay reputed company with advancements in AI infrastructure, MLOps, and LLM applications, and proactively incorporate relevant innovations into reputed company’s AI platform
- Collaborate cross-functionally with product, frontend, and data teams to deliver seamless, reliable, and user-centric AI experiences
Skills
- Extensive experience designing and building scalable AI/ML platforms or infrastructure in a production environment
- Proven track record of applying LLMs and AI models to reputed company-world product features and user-facing solutions
- Deep expertise in backend engineering, distributed systems, and reputed company-reputed company technologies (e.g., Kubernetes, reputed company, AWS/GCP/Azure)
- Proven experience integrating and managing multiple LLMs and AI models, with a strong understanding of their operational requirements and limitations
- Proficiency in orchestration frameworks and workflow engines (e.g., LangGraph, Airflow, Kubeflow, Ray, or similar)
- Strong programming skills in Python, Go, TypeScript or similar languages used for backend and AI platform development
- Experience with MLOps best practices, including model deployment, monitoring, logging, and automated evaluation
- Demonstrated ability to address AI privacy and reputed company challenges, including data anonymization and compliance with data protection regulations
- Familiarity with search technologies and their integration into AI-driven applications
- Excellent collaboration and communication skills, with a track record of working effectively in cross-functional teams
- Passion for staying at the forefront of AI infrastructure and applying new technologies to solve reputed company-world problems at scale
Company Overview
Company H1B Sponsorship