AI Engineer

Talentify; Austin (TX); Remote; USD 120,000 - 160,000; Full time

Job summary

Talentify is seeking an AI Engineer to drive the AI Enablement program across multiple locations, including Austin, Chicago, Urbandale, or fully remote. The role focuses on building reusable AI capabilities, templates, and workflows, working with AI coaches to scale solutions and accelerate adoption across teams.

You will partner with enablement leads to convert successful use cases into shareable assets, documenting best practices and onboarding resources while measuring adoption and asset

Qualifications

• Python expertise for AI enablement tools.
• Experience with GitHub and AWS is a plus.
• Familiarity with LangChain, RAG and vector databases.

Responsibilities

• Build and maintain the AI Skills, Agents, and Templates Hub.
• Develop reusable AI skills, agents, workflows, and starter templates.
• Create onboarding material, documentation, and best practices.
• Manage intake, prioritization, and tracking of AI enablement requests.
• Support AI coaches in packaging and scaling solutions.
• Measure adoption, maintain asset quality, and coordinate releases.

Skills

Python

Github

AI Frameworks (Langchain)

MCPs

RAG and Vector Databases

Harness Engineering

Tools

AWS

Multi-agent system design/development

Job description

Position Title: AI Engineer

Can sit in Austin, TX, Chicago, IL, Urbandale, IA, or fully remote

Glider test is being developed and will be required BEFORE candidate is submitted.

Role Summary

Support the AI Enablement program by building and maintaining the tools, content, and processes that accelerate AI adoption across the organization. This individual will partner with AI Enablement leads and embedded AI coaches to turn successful use cases into reusable skills, agents, templates, workflows, and knowledge assets that can be shared across teams. The role aligns with the AI Enablement vision of providing reusable AI capabilities, onboarding resources, and adoption support across department.

Key Responsibilities

• Build and maintain the AI Skills, Agents, and Templates Hub.
• Develop reusable AI skills, agents, workflows, and starter templates.
• Create onboarding material, documentation, and best practices.
• Manage intake, prioritization, and tracking of AI enablement requests.
• Support AI coaches in packaging and scaling successful team solutions.
• Measure adoption, maintain asset quality, and coordinate releases.

Working Model

• Acts as the central builder and operator for shared AI enablement capabilities.
• AI coaches identify use cases, provide domain expertise, validate solutions, and drive adoption within their teams.
• AI Enablement leadership sets priorities and strategic direction. This complements the embedded coach model announced across DSG.

Success Measures

• Increased adoption of AI tools and resources.
• Growth of reusable skills, agents, and templates.
• Faster onboarding and knowledge sharing.
• Reduced duplication of effort across teams.
• Improved discoverability and reuse of AI solutions.

Additional Required Skills

• Python expertise
• Github
• AWS is a plus
• AI Frameworks (ex. Langchain)
• MCPs
• RAG and Vector Database
• Harness Engineering

Nice to have

• Big Data (Databricks)
• Multi agent system design/development

EEO

"Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of - Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans."