AI Engineer

AI Engineer

Location: Charlotte NC/ Irving TX (On-site)

Duration: 12 months

Role Overview

As a Lead Software Engineer, you will discover, design, develop, test, and deploy sophisticated Generative and Agentic Automation applications. You will work within a dedicated engineering pod, partnering with technical leaders to translate architectural designs into robust, scalable, and secure software. This role requires hands-on development experience and a strong interest in solving complex technical problems using modern AI capabilities.

Key Responsibilities

• Lead moderately complex initiatives and deliverables within technical engineering environments.
• Contribute to large-scale planning of strategies across Consumer Technology.
• Design, code, test, debug, and document applications and services, including upgrades and deployments.
• Review technical challenges that require in-depth evaluation of technologies, procedures, and engineering approaches.
• Collaborate with peers, colleagues, and mid-level managers to resolve technical challenges and meet project goals.
• Design, develop, and deploy AI applications using enterprise APIs, LLMs, agent frameworks, and related technologies.
• Implement prompt engineering, retrieval augmented generation, fine-tuning, and agentic design patterns.
• Integrate LLM models with existing enterprise systems and ensure that AI solutions meet governance, security, and compliance standards.
• Assist and mentor engineers in advanced software development and AI engineering practices.

Required Qualifications

Experience: 4+ years of software engineering experience or equivalent demonstrated through a combination of work experience, training, military service, or education. This includes:

• 4+ years of experience building Agentic automated applications.
• 2+ years of experience building Agentic Engineering.
• 2+ years of experience working with Generative AI, large language models, or foundation models.
• 2+ years of experience with either GCP, Azure, Kubernetes, or OpenShift.
• 2+ years of experience with Python.
• 2+ years of experience with REST API development and containerization technologies such as Docker and Kubernetes.
• 2+ years of experience using Git for source code version control, including branching, pull requests, and collaborative development workflows.

Technical Skills:

• Microsoft Power Platform (Power Apps, Power Automate, PVA, Power BI).
• UI Path.
• AI SDLC experience (DEVI AI, Claude Code, Claude Design).
• LangChain (or any other Agentic framework).
• Alteryx (Data transformation and automation).
• IDP (intelligent document processing).
• Microsoft Co-Pilot Studio.
• Agentic AI (Hands-on experience on Gitogenin/Vertex AI).

Certifications:

• UI path Certified.
• MS Power Platform Certified.

Preferred Qualifications

• Understanding of cloud security principles including identity and access management, encryption, and network security in public or hybrid cloud environments.
• Experience working in highly regulated industries such as financial services.
• Experience as a technical lead or architect, including mentoring senior engineers.
• Experience integrating or contributing to open-source AI or ML projects.
• Experience integrating applications with enterprise data platforms, APIs, and secure data pipelines.
• Experience with LLM development using OpenAI, Anthropic, or Google Gemini models.
• Experience with agentic frameworks and AI workflow orchestration.
• Experience with vector databases and retrieval systems such as Elasticsearch, OpenSearch, Pinecone, or Weaviate.
• Familiarity with ML lifecycle tools and processes such as feature stores, model registries, and CI or CD pipelines for AI services.

Job Expectations

• This position is 5 days onsite.
• Relocation assistance is not available for this position.
• This position is not eligible for visa sponsorship.