AI Solutions Engineer

Reposted 6 Days Ago
Hiring Remotely in United States
Remote
Junior
Information Technology • Consulting
The Role
The AI Solutions Engineer will design, prototype, and deploy AI solutions, collaborating with leadership to automate workflows and improve business processes.
Summary Generated by Built In

AI Solutions Engineer (Rapid Iteration and Deployment)

Location: Remote (US Time Zone)

Job Summary:

We are looking for a hands-on AI Solutions Engineer to drive the rapid development, iteration, and deployment of AI solutions that improve our business operations. In this role, you will work directly with leadership to identify high-impact use cases and quickly implement AI agents and automation tools to solve real problems. You’ll be responsible for turning ideas into working prototypes and scaling them into production-ready solutions that transform our business.

This role will report directly to the CEO, and it provides an opportunity to work on high-impact AI solutions with tons of creative freedom and ability to explore different types of solutions.

Key Responsibilities:

  • Collaborate with leadership to identify tasks and workflows where automation can provide significant value.
  • Rapidly design, prototype, and deploy AI agents to automate processes, improve decision-making, and drive efficiency.
  • Use tools like OpenAI APIs, LangChain, AutoGen, CrewAI, LangGraph, and custom Python scripts to create working solutions.
  • Iterate quickly based on feedback and performance data to refine AI implementations.
  • Build integrations between AI agents and business systems (e.g., CRM, ERP, data warehouses, internal tools).
  • Develop end-to-end automation workflows, including testing and deployment into production environments.
  • Document workflows and provide training to teams to enable adoption of new tools.
  • Be the go-to resource for rapid AI experimentation and deployment, bridging business needs and technical solutions.

Required Skills and Experience:

  • 2+ years of hands-on experience with AI/ML frameworks and tools (e.g., OpenAI APIs, LangChain, LangGraph, AutoGen).
  • Strong Python programming skills for building scripts, workflows, and integrations.
  • Proven ability to rapidly prototype, iterate, and deploy AI agents and solutions in a fast-paced environment.
  • Experience integrating AI tools with business systems (e.g., APIs, webhooks, data connectors).
  • Familiarity with cloud platforms (AWS, GCP, Azure) and their AI/ML services.
  • Strong problem-solving mindset with the ability to turn high-level concepts into working solutions quickly.
  • Clear communication skills for collaborating with business teams/leadership and presenting solutions.

What We Offer:

  • A dynamic, innovation-driven environment where you can rapidly experiment and deploy solutions.
  • Direct access to leadership for fast decision-making and support.
  • Opportunity to drive tangible business impact through hands-on AI implementation.
  • Competitive compensation and flexible work arrangements.

Top Skills

Autogen
AWS
Azure
Crewai
GCP
Langchain
Langgraph
Openai Apis
Python
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The Company
HQ: Austin, Texas
87 Employees
Year Founded: 2007

What We Do

Virtasant is a fully-remote and globally distributed technology and business services company that brings the breadth and capability of more than 4,000 technology professionals in 130 countries. We started working in the public cloud in 2007, and over the last 13 years, our team has built or re-platformed over 200 applications, with over 600 million lines of code currently under management.

In this time, our team has developed proprietary software and methodologies that help us quickly and accurately identify opportunities to maximize the speed, scale and cost advantages that come with native cloud computing. Virtasant combines industry-leading cloud specialization with a deep bench of global experts across every aspect of the product lifecycle to deliver superior results to our clients. Virtasant offers services including cloud assessments and migrations, custom product development, information management, machine learning, remote team management, application modernization, full-lifecycle technology outsourcing, and more

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