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apexanalytix · 7 hours ago

AI Engineer

Greensboro, NC

Full-time

Onsite

Mid, Senior Level

3+ years exp

Apexanalytix is a long-established company that specializes in procure-to-pay solutions. They are seeking an experienced AI Engineer to drive the development of advanced GenAI applications, focusing on building production-grade AI systems and enhancing the capabilities of GenAI.

AccountingFinance

No H1B

Responsibilities

Fine-tune and deploy open-source general purpose LLMs and code-generation models (e.g. Llama 4, qwen2.5) using PEFT, LoRA, QLoRA, instruction tuning, RLHF, etc

Design GenAI applications with agentic capabilities—autonomous, goal-driven agents that can plan, reason, and execute multi-step workflows with minimal human input

Implement function calling in workflows, enabling models to invoke external tools, APIs, databases, and services to perform actions or access real-time data

Build agentic RAG pipelines, where LLMs coordinate data retrieval and reasoning dynamically via retrieval-augmented generation

Create and maintain scalable pipelines, including data ingestion, labeling, feature engineering, vector DB management, and MLOps frameworks (MLflow, Kubeflow)

Containerize applications using Kubernetes and Docker

Optimize and monitor model performance, including latency, drift, bias, privacy, and security compliance

Collaborate cross-functionally, mediating between data, product, and engineering teams to translate requirements into agentic GenAI solutions

Stay current with research trends like agentic RL frameworks (e.g., ARTIST), multi-agent orchestration, MCP, and secure function calling

Qualification

LLM fine-tuningGenAI application designMLOps frameworksPythonDockerKubernetesCI/CDPyTorch/TensorFlowAnalytical mindsetProblem-solving

Required

B.S or M.S. in Computer Science, Data Science, ML/AI or equivalent

3-5 years building and deploying AI/ML solutions with demonstrable production experience

Extensive experience fine-tuning LLMs and code models with advanced techniques (PEFT/LoRA/QLoRa/RLHF)

Proven track record designing or delivering agentic GenAI applications—function calling, autonomous workflows, RAG pipelines

Proficient in Python, PyTorch/TensorFlow, Hugging Face, LangChain, LangGraph or similar frameworks

Experience in Document and Image Analysis and extracting insights from unstructured data, including text documents and images

Strong infrastructure skills: Docker, Kubernetes, CI/CD, MLOps tooling

Sharp analytical mindset for system optimization, error mitigation, and security best practices

Excellent problem-solving and ability to translate business needs into technical design

Benefits

Competitive benefits for the countries that we serve

BeWell@apex initiative that encourages employees’ growth in six key wellness areas: Emotional, Physical, Community, Financial, Social, and Intelligence

Strong Mentor Program

Internal Training Portal

Education, Tuition, and Certification Assistance