Artificial Intelligence Engineer
Insight Global
Overview
We are seeking a highly skilled and hands-on AI Engineer to help design, build, deploy, and scale AI solutions across our organization. Reporting directly to the Co-CEO, this individual will play a critical role in shaping the company's AI capabilities by developing production-grade AI systems, intelligent automation solutions, and scalable AI infrastructure.
This is an opportunity for an experienced engineer who enjoys building from the ground up and wants to have a direct impact on how AI is leveraged throughout a rapidly growing organization. The ideal candidate combines strong software engineering fundamentals with practical experience building and deploying AI-powered applications in production environments.
You will work closely with leadership, business stakeholders, and the existing Data & Analytics team to transform AI opportunities into real-world solutions that improve operational efficiency, automate workflows, and support business growth.
Key Responsibilities
AI Engineering & Development
- Design, develop, deploy, and maintain production-grade AI applications and services.
- Build AI-powered solutions that automate workflows, improve productivity, and reduce manual processes.
- Develop and support AI agents, LLM-powered applications, retrieval systems, and intelligent automation solutions.
- Integrate AI capabilities into existing business systems and operational processes.
- Evaluate and implement leading AI technologies, frameworks, and tools.
Infrastructure & Delivery
- Design and maintain scalable AI infrastructure and deployment pipelines.
- Ensure reliability, performance, security, and observability of AI systems in production.
- Develop APIs, integrations, and backend services that support AI applications.
- Collaborate with the Data & Analytics team to leverage internal data sources for AI-driven solutions.
- Ownership of AI application lifecycle from development through production support.
AI Adoption & Business Partnership
- Partner with business leaders to understand operational challenges and identify AI use cases.
- Work directly with stakeholders to customize AI solutions for various teams across the organization.
- Drive AI adoption through practical solutions that produce measurable business impact.
- Translate business requirements into scalable technical solutions.
- Provide technical guidance regarding emerging AI technologies and implementation strategies.
Qualifications
Required
- 5+ years of software engineering experience.
- 3+ years building, deploying, and maintaining production AI systems.
- Experience developing AI-powered applications using modern LLM technologies.
- Strong programming experience in Python.
- Experience deploying AI solutions into production environments.
- Experience building APIs, integrations, and scalable backend services.
- Strong understanding of software architecture, cloud platforms, and modern development practices.
- Experience working directly with business stakeholders to deliver technical solutions.
Preferred
- Experience building AI agents, agentic workflows, RAG systems, or intelligent automation solutions.
- Financial services, lending, real estate, fintech, or regulated industry experience.
- Experience with cloud platforms such as AWS, Azure, or GCP.
- Familiarity with vector databases, model orchestration frameworks, and AI infrastructure tooling.
- Experience mentoring engineers or providing technical leadership.
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