AI Engineer Staffing

AI engineer positions focus on integrating Generative AI, Large Language Models, and Retrieval-Augmented Generation into business applications. These roles involve using Azure OpenAI, Azure Cognitive Search, and Document Intelligence to build custom AI solutions. Work includes creating serverless pipelines on Azure using Functions, CosmosDB, and Storage services.

Experience building multimodal LLM applications with Langchain and LlamaIndex demonstrates advanced capability. The position requires both front-end skills in React and JavaScript plus back-end development in Python and Node.js. Strong background in Azure and AWS cloud environments helps deploy scalable AI integrations properly.

AI Engineer Talent Qualifications

  • AI engineers at this level typically have several years of experience leading teams and developing advanced AI solutions
  • Specialization in integrating Generative AI, Large Language Models, and Retrieval-Augmented Generation into business applications
  • Expertise using Azure OpenAI, Azure Cognitive Search, and Document Intelligence for custom AI implementations
  • Strong skills building serverless pipelines on Azure using Functions, CosmosDB, and Storage services
  • Experience creating multimodal LLM applications with Langchain and LlamaIndex frameworks
  • Full-stack capabilities spanning front-end development (React, JavaScript) and back-end development (Python, Node.js)
  • Deep knowledge of both Azure and AWS cloud environments with focus on scalable AI integration
  • Proven ability to deploy production-ready AI systems rather than proof-of-concept demonstrations

Why Use Agile Technology to Hire Your AI Engineer?

AI engineers who deliver production systems rather than experiments remain exceptionally rare. Many understand AI concepts theoretically but struggle deploying reliable business solutions. We identify builders turning AI potential into measurable business value rather than impressive demos that fail in production.

We connect with engineers actively deploying AI solutions today. While others debate AI ethics and potential, we work with professionals building responsible AI systems now. These engineers understand compliance requirements, bias mitigation strategies, and differences between demonstrations and production systems. They implement practical AI rather than just studying possibilities.

You benefit from verification of production deployments and cost management. GitHub repositories don’t indicate AI readiness for business use. We confirm actual production deployments, scaling strategies, and cost control experience. Can they explain AI decisions to regulators? Do they understand prompt engineering beyond basics? Will they build maintainable systems? These factors determine AI project success.

You receive sustained support for ongoing AI innovation. AI projects require continuous evolution as technology and capabilities advance rapidly. We maintain relationships that grow with the landscape. Your engineer stays current because we facilitate continuous learning and knowledge sharing across our AI professional community.

Hire Tech Talent Today

Initial Consultation:

We’ll uncover the unique technical
and cultural blueprint of your team.

Strategic Talent Mapping:

Your talent requirements will guide 
our recruiting strategy.

Candidate Curation:

Precise selection of pre-vetted
professionals aligned with your needs.

Selection & Onboarding Support:

Help smooth the path from selection
to seamless team integration.

The AGILE™ Tech Hiring Framework

With our AGILE™ Framework, we take time to understand both business needs and professional goals, connect potential matches through our pre-vetted talent community, and validate technical skills and cultural alignment. Our values showcase how we do that:

A – Accountability & Access
Direct access to leadership, executive sponsorship, and continuous follow-ups ensure every client and candidate feels prioritized and supported.

G – Guided Expertise
A consultative, diagnostic approach that leverages specialized focus areas, resource audits, and executive-level rigor for every placement-not just executives.

I – Integrity & Transparency
Radical honesty, pricing/process/timeline transparency, and candid communication build trust and set clear expectations at every step.

L – Lightning Responsiveness
48-hour talent turnaround, urgency for mission-critical needs, and a pre-sourced, curated candidate community enable rapid, reliable solutions.

E – Empowered Community
Candidate advocacy, ongoing engagement, and a focus on long-term fulfillment for both candidates and employers create a thriving, mutually beneficial ecosystem.