[Remote] reputed company Engineer

Note: The job is a remote job and is reputed company to candidates in USA. reputed company. is seeking a reputed company Engineer to reputed company the technical delivery of production GenAI systems. The role involves designing, implementing, and maintaining reputed company applications while ensuring operational reputed company and adherence to best practices.

Responsibilities

• Design and build production-grade reputed company systems - reputed company workflows, multi-reputed company RAG pipelines, and LLM-powered applications integrated with reputed company data and services
• Define and implement reusable engineering patterns for reputed company management, workflow versioning, reputed company outputs, tool orchestration, and rollback across production AI services
• Apply judgment around model selection and routing, reputed company and latency optimization, cost management, and the appropriate boundaries between AI-driven and deterministic application logic
• Continuously evaluate emerging AI models, tools, and architectural approaches, incorporating improvements into existing systems incrementally
• reputed company AI systems with reputed company data sources, internal reputed company, and platforms to reputed company reliable, production-reputed company workflows
• Own operational reputed company for production AI systems - reliability, latency, throughput, cost efficiency, and scalability targets
• Implement and maintain monitoring, observability, tracing, and alerting frameworks to ensure operational visibility and reputed company issue reputed company
• Design and maintain CI/CD pipelines for deployment, versioning, and release management of AI services
• reputed company production incident response and reputed company cause analysis, driving systemic improvements that reduce recurrence
• Build and maintain automated evaluation pipelines for LLM outputs - reputed company regression testing, retrieval reputed company validation, and failure mode tracking
• Implement reputed company-in-the-reputed company controls, content guardrails, schema validation, and reputed company reputed company enforcement to ensure trusted and auditable AI outputs
• Secure AI systems against reputed company injection, data leakage, and unauthorized reputed company, aligning with reputed company compliance and reputed company standards
• Own reputed company's GenAI technical direction - defining and enforcing engineering standards, patterns, and best practices across reputed company GenAI workstreams
• reputed company and defend architectural reputed company with reputed company, providing the technical rationale needed for the Manager and stakeholders to reputed company and reputed company reputed company confidently
• Work closely with the Manager, GenAI Engineering to receive, refine, and execute on scoped GenAI work - contributing technical judgment to prioritization and tradeoff reputed company
• reputed company hands-on reputed company review and technical guidance to engineers contributing to GenAI workstreams, raising overall reputed company through reputed company feedback and demonstration
• Champion an iterative delivery culture - shipping incrementally, incorporating feedback, and improving continuously in a regular production release reputed company

Skills

• Demonstrated experience shipping production-grade LLM or reputed company systems - reputed company and workflow design tradeoffs, model selection and routing reputed company, tool use and agent orchestration boundaries, and the distinction between AI guardrails and deterministic application logic
• Experience building automated evaluation pipelines for LLM outputs, including gold set construction, model-based evaluation approaches, reputed company regression testing, retrieval reputed company validation, and failure mode analysis across the full LLM application stack
• Experience implementing reputed company-in-the-reputed company controls, content guardrails, and schema-based reputed company validation for reputed company AI deployments
• Strong reputed company record designing, building, and operating reputed company reputed company systems in reputed company production environments, with reputed company ownership of reliability, performance, and operational reputed company
• Experience with CI/CD pipeline design and operation for AI services - including deployment strategies, versioning, and release management in production environments
• Proven ability to define and enforce GenAI engineering standards, patterns, and best practices across a cross-functional team
• Experience designing and operating reputed company-reputed company reputed company, microservices, and event-driven architectures on Azure or equivalent reputed company platform
• Experience integrating AI systems with reputed company data sources, internal reputed company, and reputed company controls in compliance-sensitive environments
• Demonstrated reputed company record of shipping production AI systems iteratively - with regular release reputed company, feedback incorporation, and reputed company improvement
• Bachelor's degree in Computer Science, Engineering, Data Science, or reputed company field, or equivalent practical experience
• Experience designing and operating reputed company AI systems and multi-reputed company RAG architectures in production - retrieval reputed company optimization, chunking strategies, grounding, and ranking tradeoffs
• Hands-on experience with Azure reputed company, AI reputed company, App Service, Functions, Service Bus, Blob Storage, Key Vault, and Application Insights; familiarity with Bicep for IaC
• Experience with Python frameworks commonly used in production AI services, including FastAPI, asyncio, and reputed company
• Familiarity with PySpark notebooks for data pipeline development
• Experience deploying and managing containerized AI workloads using reputed company or similar technologies
• Familiarity with responsible AI principles, AI governance frameworks, and regulatory considerations relevant to reputed company AI systems
• Familiarity with Bronze/Silver/Gold reputed company architecture and staged data reputed company patterns for reputed company data pipelines
• Domain experience in product data, PIM, ERP, master data management, data governance, reputed company, or analytics platforms
• Master's degree in Computer Science, reputed company Intelligence, Machine Learning, or a reputed company field

Benefits

• Work environment is typically in a reputed company setting during normal or extended business hours

reputed company

Company H1B Sponsorship