AI Engineer (Agentic Systems)

• Design and deliver enterprise-grade AI agent solutions for automation and decision augmentation.
• Leverage and integrate existing LLM platforms to build scalable, production-ready agent systems.
• Embed AI into engineering and product delivery workflows without developing foundational models.
• Apply strong system design and agent orchestration to drive operational efficiency.
• Design end-to-end AI workflows, including prompting, retrieval, tool integration, and output validation.
• Utilize AI-assisted development tooling to accelerate engineering productivity and solution design.
• Define and measure outcomes such as efficiency gains, cost reduction, and adoption metrics.
• Engage with stakeholders to translate business problems into pragmatic AI solutions.

• 5-8+ years of experience in software engineering, AI solution engineering, or applied data workflows.
• Proven experience building AI agents or agentic workflows using existing LLMs (task orchestration, tool use, memory, workflow chaining).
• Hands-on experience with AI-assisted development tooling (e.g., GitHub Copilot, Copilot Studio, or equivalent).
• Experience with cloud-native architectures and integration into enterprise environments and tooling.

Technical Skills:

• Strong Python engineering skills and experience building production-grade services and APIs.
• Proficiency in prompt engineering, grounding, and guardrails to ensure reliability and control.
• Strong understanding of RAG patterns, document ingestion, and unstructured data processing.
• Knowledge of Artificial Intelligence/Machine Learning principles.
• Experience with Teradata.

Preferred Qualifications

• Experience designing multi-agent or orchestrated agent systems for enterprise workflows.
• Experience building interactive copilots or embedded AI assistants within engineering or operational tools.
• Familiarity with agent evaluation techniques, human-in-the-loop validation, and iterative improvement loops.
• Experience applying AI to workflow automation, operational efficiency, or service delivery transformation.
• Knowledge of Responsible AI, governance, and enterprise risk considerations.
• Track record of driving AI adoption across engineering or product organizations.
• Experience operating in product-centric, outcome-driven delivery models.

Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico. Everforth Apex uses a virtual recruiter as part of the application process. Click for more details. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Everforth Apex and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at