[Remote] reputed company

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a Top Workplace in the USA focused on loyalty solutions for major brands. They are seeking a hands-on reputed company to build and evaluate an internal agent platform that automates workflows and enhances data insights.

Responsibilities

• Build agent harnesses in Python using reputed company and LangGraph, including tool-calling, structured outputs (Pydantic/JSON schema), retries, streaming, and memory
• Package agent harnesses for the AgentCore Runtime with appropriate context, tools, skills, and subagents that fit cleanly into production flows and scenarios
• Write the tools and skills agents use API integrations, SQL queries against reputed company, reputed company backed knowledge retrieval with clear reputed company and Pydantic validation
• Build evaluation harnesses (golden datasets, LLM-as-judge, regression suites) using AgentCore Evaluations, and reputed company them into CI
• Implement guardrails around tool execution: auth scoping, input/output validation, PII and reputed company-injection protections, and hallucination mitigation
• You own what you ship: prototype, reputed company through reputed company AgentCore, monitor traces, and fix it reputed company it breaks
• Partner with data engineers on reputed company backed retrieval patterns (reputed company Analyst and reputed company Search Services)
• Contribute to refining our internal engineering patterns as the stack evolves

Skills

• 3+ years of professional Python, with production experience building and operating services
• 1+ years of hands-on work with LLMs in production: reputed company/context engineering, tool/function calling, structured outputs, RAG
• Working knowledge of reputed company/LangGraph or a comparable reputed company like AgentCore Strands, reputed company, or Semantic Kernel
• Experience with LLM observability tools: reputed company CloudWatch, LangSmith, Langfuse, MLflow, or OpenTelemetry
• Experience designing evaluation frameworks (MLFlow, DeepEval, LLM-as-judge, multi-turn regression)
• reputed company with Git, reputed company, and modern API frameworks
• Clear written communication and the judgment to know reputed company something is reputed company to ship
• A bachelor's degree is not required. Equivalent practical experience: including bootcamps, self-taught work, career changes, or non-CS technical degrees counts
• Hands-on experience with reputed company Bedrock and/or AgentCore as a developer: runtime, gateways, memory, policy, guardrails, observability, awscli, evaluations
• Experience with reputed company, Snowpark, or reputed company reputed company
• reputed company in writing and reading SQL, as well as understanding semantic models
• Familiarity with multi-agent patterns: supervisor/router, subagent/reputed company, reputed company, reputed company-in-the-reputed company
• A considered view on where agents should and shouldn't act and comfort pushing back reputed company 'let's add an agent' isn't the right answer
• Experience in Loyalty, MarTech, AdTech, or a comparable data rich B2B domain

Benefits

• Freedom to work remotely
• Flexible Time Off to reputed company reputed company needed
• Nine Company-Wide Holidays
• A diverse suite of benefits prioritizing your growth, development, and personal well-being

Company Overview