Engineer 2 – AI Agentic Solutions

Jobtailor; Seattle (WA); On-site; USD 120,000 - 160,000; Full time

Job summary

Jobtailor in Seattle, WA seeks an engineer to design and build agentic components with minimal supervision, and contribute to context engineering work. You will apply AI fluency to integrate LLM APIs and agentic frameworks into production services.

Join on-call rotations, help lead work processes and design reviews, and connect your work to the team's roadmap by understanding business metrics.

Qualifications

• 2+ years of professional software engineering experience.
• Hands-on experience with LLMs or foundation model APIs (OpenAI, Anthropic, Google, etc.).
• Some experience building or contributing to AI agents or agentic workflows.
• Growing understanding of context for agents within token, latency, and cost constraints.
• Exposure to evaluation or testing practices for LLM-based systems.
• Solid CS fundamentals - data structures, algorithms, and object-oriented design.
• Familiarity with modern agentic frameworks such as LangGraph, CrewAI, Semantic Kernel, etc.
• Strong verbal and written communication skills.

Responsibilities

• Design and build agentic components with minimal supervision.
• Contribute to context engineering work.
• Apply AI fluency to integrate LLM APIs and agentic frameworks into production services.
• Participate in on call rotations.
• Learn to lead work processes and design reviews.
• Understand business metrics for the team and how your work connects to the team's roadmap.

Skills

LLM API Integration

Agentic Frameworks

Software Engineering

Data Structures

Algorithms

Object-Oriented Design

Context Engineering

Evaluation Practices

Testing Practices

Communication Skills

Tools

OpenAI

Anthropic

Google

LangGraph

CrewAI

Semantic Kernel

Job description

• Design and build agentic components with minimal supervision.
• Contribute to context engineering work.
• Apply AI fluency to integrate LLM APIs and agentic frameworks into production services.
• Participate in on call rotations.
• Learn to lead work processes and design reviews.
• Understand business metrics for the team and how your work connects to the team's roadmap.

Requirements

• 2+ years of professional software engineering experience.
• Hands-on experience working with LLMs or foundation model APIs (OpenAI, Anthropic, Google, etc.)
• Some experience building or contributing to AI agents or agentic workflows.
• Growing understanding of context for agents within token, latency, and cost constraints.
• Exposure to evaluation or testing practices for LLM-based systems.
• Solid CS fundamentals - data structures, algorithms, and object-oriented design.
• Familiarity with modern agentic frameworks such as LangGraph, CrewAI, Semantic Kernel, etc.
• Strong verbal and written communication skills.

Core Competencies

Demonstrates expertise in integrating LLM APIs and agentic frameworks into production services while understanding business metrics and contributing to team roadmaps. Proficient in software engineering principles with a focus on AI agents and context engineering.

Highest-signal resume keywords

• LLM API Integration
• Agentic Frameworks
• Software Engineering Experience
• Data Structures and Algorithms
• Communication Skills

ATS Optimization Keywords

Hard Skills

• Software Engineering
• AI Agents
• Context Engineering
• Data Structures
• Algorithms
• Object-Oriented Design
• Evaluation Practices
• Testing Practices

Soft Skills

• Verbal Communication
• Written Communication

Industry Keywords

• Agentic Workflows
• Business Metrics
• On Call Rotations

Tools & Technologies

• OpenAI
• Anthropic
• Google
• LangGraph
• CrewAI
• Semantic Kernel