AI Engineer

Abstra

. Build, deploy, and maintain internal AI agents and intelligent search tools using organizational documents and knowledge .

Posted 9/18/2026full-timeRemoteMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and deploying AI agents and intelligent search tools, with strong proficiency in Python and TypeScript. Capable of automating workflows and integrating SaaS tools while collaborating effectively with business teams to deliver practical solutions.

Highest-signal resume keywords

Building With Modern LLMsPython ProficiencySaaS API IntegrationsRapid PrototypingTraining Non-Technical Users

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

LLM APIsFunction/Tool CallingRetrieval-Augmented GenerationModel Context ProtocolREST APIsRelational DatabasesVector DatabasesCloud Deployment WorkflowsDocument AutomationCustom Tool Development

Soft Skills

Collaboration SkillsTraining Ability

Tools & Technologies

Monday.comMicrosoft 365SharePointIroncladAI Tools

Industry Keywords

AI InfrastructureAutomation OpportunitiesOrganizational Best PracticesBackground ChecksEmployment Verification

Tech Stack

Tools & technologies

CloudPythonTypeScript

About the role

Key responsibilities & impact

Build, deploy, and maintain internal AI agents and intelligent search tools using organizational documents and knowledge
Automate repetitive business workflows with agentic systems executing multi-step autonomous actions across internal tools
Extend back-office platforms such as Monday.com, Microsoft 365, SharePoint, Ironclad, and other SaaS tools through custom integrations
Automate document review, comparison, summarization, data extraction, classification, and creation
Build templates, prompts, and workflows for RFPs, RFIs, proposals, reports, and presentations
Design and deploy lightweight internal applications, web tools, and scripts
Identify high-impact automation opportunities and evaluate AI features during software procurement
Determine when to build custom tools versus buying existing solutions
Establish reusable AI infrastructure, tool-calling patterns, permissions, logging, security frameworks, evaluation methods, and organizational AI best practices
Collaborate with business teams and leadership to rapidly prototype solutions
Train, support, and enable employees to use AI tools effectively

Requirements

What you’ll need

Deep hands-on experience building with modern LLMs (Claude, OpenAI, etc.)
Experience with LLM APIs, function/tool calling, Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), and current AI agent frameworks
Strong proficiency in Python and/or TypeScript
Experience with REST APIs, relational/vector databases, SaaS API integrations, and modern cloud or containerized deployment workflows
Proven ability to rapidly prototype, iterate, and ship functional software solutions independently
Excellent collaboration skills to translate ambiguous business requirements into practical technical solutions
Ability to train non-technical users on new tools
Successful completion of employment verification and background checks after accepting an offer
Verification of job titles and dates of employment with two previous employers

Benefits

Comp & perks

Competitive compensation paid in USD
20 days of paid time off (PTO) per year
Opportunities for professional growth and career development
Company-provided equipment
A collaborative, inclusive, and multicultural work environment
The opportunity to contribute to meaningful projects alongside a talented and supportive team