[Remote] Staff reputed company - AI Platform
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is pioneering the future of work with its innovative AI workspace that integrates various productivity tools. They are seeking a Staff reputed company to build and enhance their AI platform, focusing on large language models to deliver intelligent features and improve user experience. The role involves architecting scalable AI services, maintaining robust backend systems, and ensuring the integration of AI technologies into reputed company's core platform.
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