Applied AI Engineer

Seer; Seattle (WA); Hybrid; USD 130,000 - 160,000; Full time

Job summary

Seer in Seattle is seeking an Applied AI Engineer to build the intelligent systems that power their AI-native travel platform. You will develop the core reasoning layer for travel planning, design workflows for decision-making, and implement robust booking optimization logic.

Ideal candidates have 5+ years of experience with large-scale AI systems and a strong ability to translate cutting-edge research into reliable systems. The role aims to create a trustworthy travel companion, integrating AI at its core.

Qualifications

• 5+ years of experience working with LLM systems.
• Experience in shipping AI systems at scale.
• Ability to translate research into engineering.

Responsibilities

• Develop the agentic reasoning and orchestration layer.
• Design multi-step workflows for complex decisions.
• Implement autonomous booking optimization logic.

Skills

Large-scale deep learning

Production AI systems

Safety and reliability

Evaluation and benchmarking

Tools

AWS

Temporal

Job description

Applied AI Engineer – Agentic Systems (Travel Platform)

We are building a deeply personal, AI-native travel companion designed to become the trusted travel agent for life. Travel is one of the most meaningful parts of people’s lives – yet today’s tools are fragmented, transactional, and lack continuity or understanding.

We are building something new: an intelligent, agentic system that understands users over time, applies judgment, and handles complex multi-step travel planning and booking on their behalf. The product is AI-native from the ground up, where agent behavior, reasoning, memory, and trust are core system components.

We are seeking an Applied AI Engineer to build and productionize the intelligent systems powering this agentic experience. This role focuses on translating cutting‑edge ML and LLM research into reliable, scalable, user‑facing systems.

What You’ll Do

Build the Core Agentic AI Layer

• Develop and evolve the agentic reasoning and orchestration layer powering travel planning and booking
• Design multi‑step, stateful workflows for complex decision‑making and execution
• Implement tool‑calling architectures with robust guardrails and safety constraints

Design Prompting, Memory, and Context Systems

• Build prompting and orchestration strategies for reliable agent behavior
• Design consent‑aware long‑term memory systems for personalization over time
• Develop persona extraction and structured user context modeling systems
• Maintain persistent, evolving representations of user preferences and intent

Build Production AI Systems

• Implement autonomous booking optimization logic and decision systems
• Build real‑time monitoring and intervention systems for agent behavior
• Ensure reliability, safety, cost‑efficiency, and determinism in production environments

Evaluation and Quality Systems

• Design and implement evaluation frameworks for agent performance
• Measure model quality across dimensions such as:
• Accuracy and reliability
• Cost and latency
• Safety and compliance
• Determinism and consistency
• Build systems for model selection, benchmarking, and continuous evaluation

Translate Research Into Production

• Take state‑of‑the‑art LLM and agent research and turn it into robust production systems
• Go beyond simple LLM wrappers to build deeply integrated AI‑native systems
• Collaborate closely with infrastructure and product teams to ship end‑to‑end features

What We’re Looking For

• 5+ years of experience working with large-scale deep learning or LLM systems
• Experience shipping production AI systems to real users at scale
• Strong ability to translate research ideas into robust, reliable engineering systems
• Experience building agentic workflows beyond basic LLM integration
• Strong understanding of evaluation, benchmarking, and system quality measurement
• Ability to reason about safety, reliability, and controllability in AI systems

Preferred Experience

• Experience working with frontier LLMs (commercial or open‑weight models)
• Familiarity with cloud and serverless infrastructure (AWS, Vercel, etc.)
• Experience with workflow orchestration systems (e.g., Temporal or similar)
• Experience with LLM observability and evaluation tools (e.g., LangSmith, Braintrust, or similar)
• Work on persistent memory systems and structured user representations
• Experience with relational and vector databases for AI state management
• Familiarity with streaming AI runtimes and tool execution frameworks

Why This Role Matters

• Build the core intelligence layer of a next‑generation AI‑native travel agent
• Define how autonomous systems reason, plan, and act on behalf of users
• Work at the intersection of LLM research, systems engineering, and product impact
• Shape foundational patterns for safe, reliable agentic AI systems in consumer applications

About the Company

We are a small, high‑ownership team building an AI‑native travel platform from first principles. We operate at the frontier of applied AI systems, focusing on reliability, evaluation, and real‑world agent behavior.

We are committed to building an inclusive workplace and encourage applicants from all backgrounds to apply.