Agentic AI Engineer

Fairmarkit

AI Engineer at Fairmarkit creating agentic systems from the ground up with co-founders in Boston. High ownership role with immediate impact on the business.

Posted 7/8/2026full-timeBoston • Massachusetts • 🇺🇸 United StatesMid-LevelSenior💰 $319,000 - $350,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and deploying LLM powered applications and agentic systems, with strong full stack engineering skills across modern frameworks and cloud platforms. Capable of designing intuitive AI native user experiences while maintaining a founder mentality focused on product and business outcomes.

Highest-signal resume keywords

LLM Powered ApplicationsFull Stack EngineeringAI Orchestration FrameworksUser Experience DesignCloud Platforms

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

JavaScriptTypeScriptPythonREST APIsGraphQL APIsAWSGCPAzureLangChainLlamaIndex

Soft Skills

Product SensibilityDesign SensibilityComfort with AmbiguityFounder MentalityCollaboration

Tools & Technologies

AI Agentic SystemsAI Native User ExperiencesAutoGenCrewAI

Industry Keywords

CommerceEngineering CulturePrototypingIterative Development

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformGraphQLJavaScriptPythonTypeScript

About the role

Key responsibilities & impact

Architect and build AI agentic systems from the ground up that reshape how commerce operates
Own end to end full stack development from front to back, infrastructure to interface, with AI first thinking throughout
Design and build intuitive, AI native user experiences, not just backend logic
Prototype quickly and iterate in direct collaboration with co-founders and early customers
Partner with forward leaning industry leaders who are moving fast and expect the same
Help define the technical foundation, stack decisions, and engineering culture for a scaling team
Operate daily in the trenches with leadership, with high visibility, high ownership, and high impact

Requirements

What you’ll need

Hands on experience building and deploying LLM powered applications or agentic systems in production
Strong full stack engineering fundamentals across modern JS/TS frameworks, Python, REST/GraphQL APIs, and cloud platforms such as AWS, GCP, or Azure
Experience with AI orchestration frameworks such as LangChain, LlamaIndex, AutoGen, CrewAI, or equivalent
Strong product and design sensibility, with the ability to make good UX calls without a dedicated designer in the room
The ability to move fast without sacrificing foundational quality: you know when to cut corners and when not to
A founder mentality: you think about product, users, and business outcomes, not just tickets
Comfort with ambiguity and zero to one environments where you're building the playbook, not following one.

Benefits

Comp & perks

equity
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