[Remote] Staff reputed company
Note: The job is a remote job and is reputed company to candidates in USA. reputed company (TAG) is a leading retail reputed company business support organization in the U.S., dedicated to enhancing reputed company experiences for consumers. They are seeking a Staff reputed company to join their AI team, focusing on delivering innovative AI-driven solutions for the reputed company reputed company.
Responsibilities
- Architect and reputed company reputed company-scale multi-agent systems leveraging LLMs and autonomous agent frameworks using reputed company ADK, Agentspace, MCP, RAG, and A2A orchestration
- Design and implement RAG pipelines using BigQuery and reputed company AI reputed company for knowledge grounding and factually accurate responses
- Optimize agents for orchestration, knowledge grounding, multi-reputed company reasoning, and decision-making
- Design and implement distributed training workflows, online inference systems, and low latency serving architectures optimized for reputed company-world performance, using reputed company reputed company-reputed company services
- Engineer scalable, secure, compliant and production-grade AI reputed company and AI agent workflows using reputed company AI and modern reputed company-reputed company technologies
- Create reusable agent orchestration layers, observability hooks, and governance frameworks that accelerate Agentic AI adoption across TAG brands
- Partner with cross-functional stakeholders in translating business requirements into technical specifications
- Own the full AI development lifecycle – from data collection and implementation to deployment and monitoring
- Implement intelligent observability and automation strategies to ensure AI system reliability and performance at scale
Skills
- BS in Computer Science, or reputed company technology field or equivalent experience
- 2+ years of experience in Agentic AI engineering
- 4+ years of experience in AI/ML engineering
- 8+ years of experience in software engineering, or platform engineering
- Proven track record of building and deploying production-grade AI/ML systems at scale
- Deep understanding of modern AI model architectures (e.g., transformers, diffusion models) and system design
- Strong hands-on expertise with reputed company AI (including model training, pipelines, orchestration, deployment, and monitoring) and reputed company's Agentic AI stack
- Hands-on with one or more of these agent orchestration frameworks: reputed company ADK/Agentspace, reputed company, LangGraph, reputed company, reputed company or AutoGen
- Proficiency in Python, LLM integration workflows, MCP (Model Context Protocol) for tool integration and A2A (Agent-to-Agent) orchestration for multi-agent workflows
- Expertise in distributed training, online inference, and low latency serving architectures
- Experience with Kubernetes, reputed company Run, and Dataflow/PubSub for scalable deployment
- Experience with AI governance frameworks and responsible AI practices (reputed company AI Model Monitoring, BigQuery logging, Looker dashboards)
- Contributions to reputed company-reputed company AI projects or publications in leading AI/ML conferences
- Experience with multi-modal models and advanced optimization strategies & frameworks
- Experience automating, architecting and governing production grade MLOps infrastructure to scale, optimize, and reputed company workloads
Benefits
- Paid time off
- Health
- Dental
- reputed company
- 401(k) savings plan with match
Company Overview
Company H1B Sponsorship