AI Enablement Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Design and implement AI-driven tools and agents, including integrations for tools and APIs, agent workflows, backend services, and intuitive user-facing interfaces.

• Oversee system performance, assist in incident investigations, and provide support to internal users with guidance from senior engineers.

• Facilitate integrations between AI systems and enterprise platforms such as Salesforce and Microsoft 365.

• Create LLM pipelines that encompass retrieval, structured data extraction, scoring logic, prompt and tool design, and validation of outputs.

• Utilize AI coding tools and review their outputs to ensure production quality.

• Implement security-first practices, which include least-privilege access, service accounts, and auditing logs.

• Collaborate with business stakeholders to transform vague requests into deployable tools.

• Assist internal users in adopting AI tools by answering queries, conducting brief enablement sessions, and assessing new tools.

• Produce runbooks and decision notes to document solutions and facilitate ongoing operations.

• Engage throughout the solution lifecycle, from scoping and development to launch, monitoring, user support, documentation, and continuous enhancement.

⛳️ Requirements

• At least 1 year of experience in software development; internships, academic projects, or professional endeavors are acceptable.

• Some familiarity with LLM/generative AI features extending beyond basic prototypes.

• Proficiency in Python.

• Basic understanding of REST APIs.

• Some experience with a modern frontend framework, such as React using TypeScript.

• More than 1 year of experience with AWS and/or Azure.

• Experience with LLM tool-calling or agent frameworks.

• Familiarity with workflow and automation platforms like n8n or Power Automate.

• Understanding of LLM fundamentals: RAG, embeddings, structured extraction, prompt design, and the discernment required for human review of outputs.

• Capability to make advancements in ambiguous situations and ask insightful questions.

• Ability to communicate effectively with non-technical colleagues.

• Skill in writing clear and usable documentation.

• Relevant cloud certifications are advantageous.

• Nice to have: experience with MCP servers, the Anthropic/Claude ecosystem, or administration of enterprise AI platforms.

• Nice to have: familiarity with predictive ML or evaluation design for AI systems.

• Nice to have: experience with Salesforce API and data models; knowledge of Microsoft Graph or Entra ID.

• Nice to have: exposure to manufacturing, CPQ/PLM, or B2B vertical SaaS domains.

• Nice to have: experience in supporting or training end-users on technical tools.

• Qualified candidates must complete a 30-minute online assessment.

• Employees based in the United States should work standard hours from 8:00 am to 5:00 pm Eastern Time, or 08:00 to 17:00 Central European Time for those in the EMEA region.

🏝️ Benefits

• Paid Time Off (PTO)

• Sick Leave

• Parental Leave

• Medical Insurance

• Dental Insurance

• Vision Insurance

• 401(k) Plan

• Health Savings Account

• Life Insurance

• Employee Assistance Program

• Eligibility for bonuses