Senior AI Engineer

Teak

Senior AI Engineer at Teak, focused on agentic commerce and AI-native capabilities. Designing and building systems for compliant and effective refund solutions.

Posted 7/14/2026full-timeRemote • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining production-grade agentic systems and AI infrastructure, with a strong focus on Python development, LLM integration, and compliance with regulatory requirements. Proven ability to build evaluation frameworks and RAG pipelines to enhance agent performance and ensure quality outputs.

Highest-signal resume keywords

Python ProficiencyProduction AI/LLM Application DevelopmentBackend Engineering with DjangoBuilding and Deploying Agentic AI SystemsAWS Infrastructure Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Production AI SystemsLLM IntegrationRAG Pipeline DevelopmentMCP KnowledgeTool-Calling PatternsAPI DevelopmentCode QualityTesting FundamentalsSystem DesignAgile Methodologies

Soft Skills

Strong Communication Skills

Tools & Technologies

AWSDjangoLangGraphLangChainAWS Bedrock AgentsClaudeGPTGeminiAnthropic APIOpenAI API

Certifications & Qualifications

Bachelor's Degree in Computer Science or Engineering

Industry Keywords

Agentic SystemsMulti-Agent OrchestrationHuman-in-the-Loop WorkflowsCompliance RequirementsEvaluation Frameworks

Tech Stack

Tools & technologies

AWSAzureCloudDjangoGoogle Cloud PlatformPython

About the role

Key responsibilities & impact

Design, build, and maintain production-grade agentic systems, multi-agent orchestration, specialist agents, and Human-in-the-Loop workflows, with context management, memory, and tool-calling.
Develop MCP servers and tool integrations connecting AI agents to Teak's platform APIs and partner systems.
Orchestrate LLMs (Claude, GPT, Gemini, or similar) across the AI layer, selecting the right model per task and managing prompt and system-prompt strategies so agents present refund solutions in pre-approved, compliant language.
Build RAG pipelines that ground agent responses in Teak's policy and product data, with versioning and isolation that prevent hallucination on compliance-sensitive topics.
Implement guardrails that enforce compliant offer language, prevent unauthorized coverage claims, and meet regulatory requirements across Teak's markets.
Build evaluation frameworks to monitor, test, and continuously improve agent performance, reliability, and output quality.
Build and operate AI infrastructure on AWS, with structured logging and tracing for auditability and rapid issue resolution.
Contribute to backend services, APIs, and platform improvements in Python alongside AI work, applying clean code, testing, and strong engineering fundamentals.
Participate in code reviews, document agent system design and integration patterns, take part in Agile workflows, and join the on-call rotation.

Requirements

What you’ll need

Bachelor's Degree in Computer Science, Engineering, a related field, or equivalent practical experience
5+ years of professional software engineering experience, with at least 2 years focused on production AI/LLM application development
Strong Python proficiency and solid software engineering fundamentals
Deep backend engineering experience, designing, building, and operating production services and APIs (Django or similar framework), with strong fundamentals in testing, code quality, and system design
Hands-on experience building and deploying agentic AI systems (LangGraph, LangChain, AWS Bedrock Agents, or similar)
Demonstrated experience integrating LLM APIs (Anthropic, OpenAI, or similar) into production applications
Experience building and maintaining RAG pipelines and vector search systems
Working knowledge of Model Context Protocol (MCP) and tool-calling patterns
Experience designing and running LLM evaluation frameworks for quality, reliability, and safety
Experience building and operating AI infrastructure on a major cloud platform (AWS, GCP, or Azure)
Strong written and verbal communication, with the ability to explain AI system design to technical and non-technical stakeholders.
Fully remote position; reliable internet connection and an appropriate home office workspace required

Benefits

Comp & perks

Fully Remote Working Environment
Competitive Salary and Equity Opportunities
Unlimited Paid Time-off
Two paid week-long office closures per year: Christmas Eve through New Year’s Day, and the Week of Fourth of July
Medical, Dental, and Vision Benefits
Annual Bonus Program
401k Matching
$100/month for Event Ticket Purchase
Twice annual company retreats in fantastic locations such as San Diego, Napa, Denver, Phoenix and Seattle