Position: AI/ML Engineer Location: Charlotte, North Carolina
Duration: Contract
Job ID: 180136
Job Overview: We are seeking a highly skilled and experienced Software Engineer 4 for a contingent resource assignment. In this role, you will consult on complex initiatives with broad impact and large-scale planning for Software Engineering. You will analyze and resolve multi-faceted challenges, requiring in-depth evaluation of various factors, including intangibles and unprecedented scenarios. This position offers an exciting opportunity to work on advanced technologies, including Generative AI applications, and contribute to the development of innovative, enterprise-grade AI products that will shape the future of financial services.
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 requiring in-depth evaluation of technologies, procedures, and engineering approaches.
- Resolve moderately complex issues while guiding teams to meet existing and emerging business needs.
- Collaborate with peers, colleagues, and mid-level managers to resolve technical challenges and meet project goals.
- Lead projects and act as an escalation point, providing direction to less experienced engineers.
- 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 AI solutions meet governance, security, and compliance standards.
- Troubleshoot complex application and model-related issues and contribute to the continuous improvement of AI systems.
- Assist and mentor engineers in advanced software development and AI engineering practices.
- Stay informed of advancements in AI, LLMs, and agent frameworks and apply relevant updates to products and systems.
Qualifications: - 4+ years of software engineering experience or equivalent through a combination of work experience, training, military service, or education.
- 2+ years of experience working with Generative AI, large language models, or foundation models.
- 2+ years of experience with Google Cloud Platform, 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.
- UI Path Certified and MS Power Platform Certified.
Preferred Skills and Experience: - Experience with Power Platform, including Power Apps and Dataverse.
- Experience with UiPath or other enterprise automation tools.
- Experience with LLM development using OpenAI, Anthropic, or Google Gemini models.
- Experience with agentic frameworks and AI workflow orchestration.
- Experience designing applications that incorporate retrieval augmented generation, fine-tuning, and structured prompting.
- Experience with vector databases and retrieval systems such as Elasticsearch, OpenSearch, Pinecone, or Weaviate.
- Experience with LLM evaluation, observability, and monitoring, including latency, cost, accuracy, grounding, drift detection, and safety assessments.
- Familiarity with ML lifecycle tools and processes such as feature stores, model registries, and CI/CD pipelines for AI services.
- Familiarity with responsible AI principles, compliance, and governance processes related to AI systems in regulated environments.
- Experience optimizing AI application performance, including prompt efficiency, model selection, caching, batching, and cost management.
Job Expectations: - This position requires 5 days onsite.
- Relocation assistance is not available for this position.
- This position is not eligible for visa sponsorship.
About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit ;br>
At PTR Global, we understand the importance of your privacy and security. We NEVER ASK job applicants to:
- Pay any fee to be considered for, submitted to, or selected for any opportunity.
- Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process.
- Provide sensitive financial information such as credit card numbers or banking information. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup.
Pay Range: $60/hr-$70/hr only on W2
The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work.
If you receive a suspicious message, email, or phone call claiming to be from PTR Global do not respond or click on any links. Instead, contact us directly at +1 . To report any concerns, please email us at
During the hiring process, we may use artificial intelligence (AI) tools to assist in evaluating information related to your application. These tools may help analyze job-related qualifications or assist recruiters in reviewing applications and interview responses. AI-generated information is one factor considered in our hiring process. Final employment decisions are made by qualified hiring personnel and are not based solely on AI-generated recommendations.
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