Note: The job is a remote job and is open to candidates in USA. Teak is reinventing refunds with their innovative SaaS embedded refund protection platform. As a Senior AI Engineer, you'll lead the development of AI-native capabilities, architecting systems that integrate with existing APIs to enhance the purchasing experience.
Responsibilities
- 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
Skills
- 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
- Background in a compliance-sensitive industry (insurance, fintech, legal) where regulated AI output and guardrails matter
- Experience operating LLM systems at high volume, with attention to latency, cost, and caching
- Familiarity with AWS Bedrock or similar managed AI platforms and agent runtimes
- Experience with model fine-tuning, customization, or distillation
- Contributions to open-source AI tooling or frameworks
Benefits
- Fully Remote Working Environment
- Competitive Salary and Equity Opportunities
- Unlimited Paid Time-off
- Medical, Dental, and Vision Benefits
- Annual Bonus Program
- 401k Matching
- $100/month for Event Ticket Purchase
- Company Sponsored Events
Company Overview