Agentic Ai Engineer Jobs in Pooler, GA (NOW HIRING)

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Job Description:
Position Summary:
We are seeking a Lead AI Architect to design, develop, and deploy enterprise-scale AI and Generative AI solutions. The ideal candidate will have expertise in LLM-powered applications, agentic AI, RAG architectures, traditional machine learning, and cloud-based AI platforms, while providing technical leadership across cross-functional teams.
Key Responsibilities:

• Design, develop, and deploy production LLM applications utilizing prompt engineering, context engineering, RAG, and agent orchestration.
• Architect and implement agentic workflows using LangChain, LlamaIndex, CrewAI, AutoGen, and Hugging Face Transformers.
• Integrate LLMs with knowledge graphs and multi-agent systems to solve complex business problems.
• Build scalable RESTful APIs, microservices, and vector database solutions (Pinecone, Weaviate, Milvus, FAISS).
• Apply AI/ML techniques including deep learning, supervised and unsupervised learning, NLP, NER, text classification, and sentiment analysis.
• Develop model evaluation frameworks to measure AI quality, safety, and performance.
• Implement model adaptation techniques including prompt tuning, LoRA, and PEFT.
• Leverage cloud platforms (Azure ML, Vertex AI) and container technologies (Docker, Kubernetes) to deploy and scale AI solutions.
• Collaborate with business and technical stakeholders to align AI initiatives with organizational goals.
• Document AI architectures, deployment patterns, and best practices.

Qualifications:

• Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field (or equivalent experience).
• 3+ years of experience in AI/ML, including deep learning, NLP, supervised and unsupervised learning.
• Proven experience building and deploying LLM-powered applications, RAG pipelines, agent architectures, and evaluation frameworks.
• Hands-on experience with LangChain, LlamaIndex, CrewAI, AutoGen, and Hugging Face Transformers.
• Strong Python programming skills with experience in Pandas, PySpark, TensorFlow, and XGBoost.
• Experience developing production-grade RESTful APIs and microservices.
• Experience with Azure ML, Vertex AI, and vector databases such as Pinecone, Weaviate, Milvus, or FAISS.
• Knowledge of Docker, Kubernetes, and modern AI deployment practices.
• Experience with prompt tuning, fine-tuning, LoRA, and PEFT methodologies.
• Familiarity with knowledge graphs and multi-agent AI systems.
• Excellent communication, presentation, and stakeholder management skills.

Employee Type:
Permanent
UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.
Other Criteria:
UPS is an equal opportunity employer. UPS does not discriminate on the basis of race/color/religion/sex/national origin/veteran/disability/age/sexual orientation/gender identity or any other characteristic protected by law.
Basic Qualifications:
Must be a U.S. Citizen or National of the U.S., an alien lawfully admitted for permanent residence, or an alien authorized to work in the U.S. for this employer.