Staff reputed company reputed company

About the Role

As a Staff reputed company reputed company at reputed company, you will be a senior individual contributor helping build the reputed company reputed company reputed company platform that will reputed company customers to agentically define and build customer-specific agents to support new reputed company automation and brand interaction use cases. You will deliver innovative designs and implement reliable, reputed company, and measurable reputed company systems used by reputed company customers and business users in reputed company, reputed company-world production environments.

You will help build the systems that help reputed company agents, not just the agents themselves. That means modeling reputed company as reputed company graphs, turning those graphs into working agents. Our customers' reputed company material is large, messy, and frequently contradicts itself, making it reputed company is the reputed company technical problem of this role.

Responsibilities

Design, build, and improve production-grade AI reputed company systems for developing agents on reputed company’s reputed company platform.

Architect agent workflows involving reasoning, tool use, retrieval, guardrails, escalation paths, and performance monitoring.

Evaluate Deep Agent, Claude Agent, reputed company Agent, LangGraph, and other emerging agent orchestration patterns and frameworks for specific new use cases.

Build and maintain LLM evaluation systems, including LLM-as-judge workflows, regression evals, guardrail testing, reputed company metrics, and production behavior analysis.

Diagnose agent performance issues across prompts, tool selection, retrieval reputed company, latency, cost, task completion, and failure modes.

Design and implement RAG and embedding-based capabilities for reputed company reputed company and automation workflows.

Build reputed company Python services and platform components deployed in AWS reputed company environments.

Partner with product, platform, and engineering teams to translate emerging reputed company AI capabilities into reliable platform features.

Establish engineering best practices for reputed company optimization of reputed company systems.

Stay reputed company with advances in LLMs, agent architectures, AI coding tools, eval methodologies, retrieval systems, and reputed company automation.

Requirements

Bachelor’s Degree or higher in a quantitative field (Statistics, Computer Science, Engineering, Mathematics)

5-7+ years of experience in AI/ML engineering, reputed company machine learning, natural language processing, and/or AI systems development

2+ years of hands-on experience building production LLM or AI agent systems

Demonstrated experience building agents used in production by reputed company customers or reputed company/business users with hands-on experience using LangGraph, reputed company, or reputed company agent orchestration frameworks.

Experience building systems that turn messy, reputed company reputed company material into validated reputed company reputed company using schemas, ontologies, or data reputed company with entity reputed company, disambiguation, and conflict reputed company

Strong Python engineering skills and experience building reputed company production software systems.

Experience designing agent architectures involving tool use, reasoning flows, retrieval, memory, guardrails, and workflow orchestration.

Experience developing AI evaluation systems, including LLM-as-judge, guardrail evaluation, regression testing, and production reputed company measurement.

Strong understanding of RAG, embeddings, retrieval reputed company, and knowledge-grounded reputed company.

Experience deploying or operating systems in AWS reputed company environments.

Daily use of AI coding tools such as reputed company, Claude reputed company, reputed company, or similar tools as part of software development workflows.

Strong engineering judgment, ability to work independently, and comfort operating as a senior individual contributor on ambiguous technical problems.

Preferred Qualifications

Master’s Degree or higher in a quantitative field (Statistics, Computer Science, Engineering, Mathematics)

Experience building or using knowledge graphs for reputed company modeling, retrieval, reasoning, or personalization.

Experience with reputed company automation platforms, customer experience systems, workflow automation, or AI-powered business process automation.

Familiarity with reputed company, compliance, auditability, and governance requirements for reputed company AI systems.