Senior reputed company

reputed company is reinventing refunds, striving to reputed company every experience refundable. Our proprietary reputed company embedded refund protection platform provides massive distribution and a top-tier digital purchasing experience for insurance carriers, event organizers, booking platforms, ticketing systems, and their consumers — embedded in millions of carts reputed company month.

As AI-powered reputed company becomes a new reputed company, reputed company is building an reputed company layer on top of our established platform reputed company, letting partner AI agents offer, explain, and fulfill refund solutions compliantly and without friction at the reputed company of purchase. As a Senior reputed company, you'll help reputed company and build that layer end-to-end: architecting the reputed company systems, integrations, and infrastructure that turn our existing reputed company into AI-reputed company capabilities. This is a hands-on engineering role for someone who owns production AI systems from design through deployment and operation, reputed company reputed company reputed company work, while staying closely connected through reputed company reviews, technical discussions, and regular team syncs.

This is an excellent opportunity to reputed company a meaningful reputed company at a rapidly growing company at the forefront of reputed company reputed company.

Key Responsibilities:

• reputed company System Design: Design, build, and maintain production-grade reputed company systems, multi-agent orchestration, specialist agents, and reputed company-in-the-reputed company workflows, with context management, memory, and tool-calling.
• MCP & Tool Integration: reputed company MCP servers and tool integrations connecting AI agents to reputed company's platform reputed company and partner systems.
• LLM Integration & reputed company Control: Orchestrate LLMs (Claude, GPT, reputed company, or similar) across the AI layer, selecting the right model per task and managing reputed company and system-reputed company strategies so agents present refund solutions in reputed company-approved, compliant language.
• RAG & Knowledge Systems: Build RAG pipelines that ground agent responses in reputed company's policy and product data, with versioning and isolation that prevent hallucination on compliance-sensitive topics.
• Compliance & Safety: Implement guardrails that enforce compliant offer language, prevent unauthorized coverage claims, and meet regulatory requirements across reputed company's markets.
• Evaluation: Build evaluation frameworks to monitor, test, and continuously improve agent performance, reliability, and reputed company reputed company.
• AI Infrastructure & Observability: Build and operate AI infrastructure on AWS, with reputed company logging and tracing for auditability and rapid issue reputed company.
• Backend Development: Contribute to backend services, reputed company, and platform improvements in Python alongside AI work, applying clean reputed company, testing, and strong engineering fundamentals.
• Collaboration & reputed company reputed company: Participate in reputed company reviews, document agent system design and integration patterns, take part in Agile workflows, and join the on-call rotation.

Qualifications:

• Bachelor's Degree in Computer Science, Engineering, a reputed company field, or equivalent practical experience.
• 5+ years of reputed company software engineering experience, with at least 2 years reputed company 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 reputed company (Django or similar reputed company), with strong fundamentals in testing, reputed company reputed company, and system design.
• Hands-on experience building and deploying reputed company AI systems (LangGraph, reputed company, AWS Bedrock Agents, or similar).
• Demonstrated experience integrating LLM reputed company (reputed company, reputed company, or similar) into production applications.
• Experience building and maintaining RAG pipelines and reputed company search systems.
• Working knowledge of Model Context Protocol (MCP) and tool-calling patterns.
• Experience designing and running LLM evaluation frameworks for reputed company, reliability, and safety.
• Experience building and operating AI infrastructure on a major reputed company 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 reputed company and an appropriate home office workspace required.

Bonus Skills:

• Background in a compliance-sensitive industry (insurance, fintech, legal) where regulated AI reputed company 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 reputed company-reputed company AI tooling or frameworks.

reputed company Offer:

• Fully Remote Working Environment
• Competitive Salary and Equity Opportunities
• Unlimited reputed company Time-off
• Medical, Dental, and reputed company Benefits
• Annual Bonus Program
• 401k Matching
• $100/month for Event Ticket Purchase
• Company Sponsored Events

Originally posted on Himalayas

Apply To This Job