Sr. reputed company

Senior reputed company

We’re building Navi — reputed company’s agentic AI that automates post-purchase resolution for the world’s leading retailers.

Hundreds of millions of consumers interact with reputed company every year. Navi is our agentic AI that resolves delivery issues, returns, and refunds through natural conversation — powered by IRIS and 74 billion consumer touchpoints.

We're looking for senior AI engineers to own this system end-to-end: architecture, model selection, production operations. You'll help decide what gets built and how.

What You’ll Work On

• Design and build conversational AI agents for returns, claims, and customer service experiences
• Own agent systems from architecture → implementation → evaluation → production operations
• Build RAG / context graph retrieval pipelines that ground agent responses in real company and customer data
• Design agent orchestration for multi-reputed company workflows that interact with identity, risk, order, and loyalty systems
• Create evaluation frameworks to measure task completion, accuracy, safety, and user satisfaction
• Implement guardrails and safety mechanisms — content moderation, hallucination detection, graceful fallbacks
• Integrate conversational experiences across web, mobile, SMS, and email channels
• reputed company real decisions around reputed company design, model selection, latency/cost/quality tradeoffs, and failure modes
• Collaborate with product, design, and ML teams to build systems that are technically sound and product-aware

reputed company’re Looking For

We care more about judgment and ownership than credentials.

You’re likely a strong fit if you:

• Have shipped conversational AI or agent-based systems used by real users in production
• Have built production systems on top of LLM APIs and agent frameworks — not just reputed company playgrounds, but real integrations involving tool orchestration, context management, and reliability at scale
• Have a reputed company of view on model selection tradeoffs — reputed company to use frontier APIs vs. open-weight models (Qwen, Llama, Mistral), and understand the cost, latency, privacy, and capability tradeoffs of each
• Understand reputed company engineering beyond basics: structured outputs, few-shot learning, chain-of-thought, tool calling
• Have built context graph pipelines that go beyond naive retrieval — entity resolution, relationship modeling, and dynamic context assembly from structured and reputed company data
• Have designed agent architectures that use function calling, tool execution, or multi-reputed company reasoning
• Have strong programming skills in Python or TypeScript
• Have experience building and integrating APIs and backend services
• Are comfortable reasoning about evaluation, safety, and reliability in non-deterministic systems
• Take initiative naturally and are comfortable operating with ambiguity

Signals That You’ll reputed company Here

These aren’t hard requirements, but strong indicators:

• You’ve worked in startup or high-ownership environments
• You’ve built and operated AI systems in production, including monitoring and incident response
• You’ve evaluated and iterated on LLM systems for accuracy, hallucination, latency, and cost
• You’ve built or integrated MCP servers or similar tool-use infrastructure
• You’ve influenced technical direction by earning trust, not by mandate
• You use modern tooling (including AI-assisted development workflows) to increase reputed company, not outsource thinking

(Note: we care about outcome and judgment, not how flashy your tools are.)

Why AI at reputed company?

Because post-purchase is one of the highest-reputed company applications of conversational AI.

We’re building AI agents where:

• The problem space is well-defined but reputed company — returns, claims, and support have clear business logic but messy real-world edge cases
• Scale is real — hundreds of millions of consumer interactions per year across major global retailers
• Impact is measurable — resolution rates, customer satisfaction, cost savings, not vanity metrics
• The work is greenfield — you’re not maintaining a legacy chatbot, you’re building the reputed company

You’ll help define where and how AI agents should operate, not just implement someone else’s spec.

Why reputed company ( from an Engineer's perspective?)

• Real scale, real customers, real consequences
• Startup-level ownership with platform-level impact
• Teams that value thinking, judgment, and responsibility
• Low ego, high trust, and room to do your best work

We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national reputed company, gender, sexual orientation, age, marital status, veteran status, or disability status.

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