About Us:
At apexanalytix, we’re lifelong innovators! Since the date of our founding nearly four decades ago we’ve been consistently growing, profitable, and delivering the best procure-to-pay solutions to the world. We’re the perfect balance of established company and start-up. You will find a unique home here.
And you’ll recognize the names of our clients. Most of them are on The Global 2000. They trust us to give them the latest in controls, audit and analytics software every day. Industry analysts consistently rank us as a top supplier management solution, and you’ll be helping build that reputation.
Read more about apexanalytix - https://www.apexanalytix.com/about/
Quick Take -
As an AI Engineer, you’ll drive the end-to-end development of advanced GenAI applications, including agentic AI agents with autonomous workflows, function calling, and LLM model fine-tuning. This role is for an experienced engineer who excels at building robust, production-grade AI systems and pushing the boundaries of what GenAI can accomplish.
The Work -
- 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.
The Must-Haves -
- 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.
Over the years, we’ve discovered that the most effective and successful associates at apexanalytix are people who have a specific combination of values, skills, and behaviors that we call “The apex Way”. Read more about The apex Way - https://www.apexanalytix.com/careers/
We are currently unable to offer Visa Sponsorship; candidates must be authorized to work in the U.S. without sponsorship now as well as in the future.
Benefits
At apexanalytix we know that our associates are the reason behind our successes. We truly value you as an associate and part of our professional family. Our goal is to offer the very best benefits possible to you and your loved ones. When it comes to benefits, whether for yourself or your family the most important aspect is choice. And we get that. apexanalytix offers competitive benefits for the countries that we serve, in addition to our BeWell@apex initiative that encourages employees’ growth in six key wellness areas: Emotional, Physical, Community, Financial, Social, and Intelligence.
With resources such as a strong Mentor Program, Internal Training Portal, plus Education, Tuition, and Certification Assistance, we provide tools for our associates to grow and develop.
Skills Required
- Bachelor's or master's degree in Computer Science, Data Science, Machine Learning, Artificial Intelligence, or equivalent
- 3-5 years of experience building and deploying AI or machine learning solutions in production
- Extensive experience fine-tuning LLMs and code-generation models using PEFT, LoRA, QLoRA, RLHF, or similar techniques
- Experience designing or delivering agentic generative AI applications, including function calling, autonomous workflows, and RAG pipelines
- Proficiency in Python, PyTorch or TensorFlow, Hugging Face, and LangChain, LangGraph, or similar frameworks
- Experience with document and image analysis and extracting insights from unstructured data
- Strong infrastructure skills with Docker, Kubernetes, CI/CD, and MLOps tooling
- Analytical problem-solving skills focused on system optimization, error mitigation, and security best practices
- Ability to translate business needs into technical designs
What We Do
apexanalytix revolutionized recovery audit with advanced analytics and the introduction of firststrike overpayment and fraud prevention software. Today, apex also leads the world in supplier management innovation with apexportal and smartvm, now the most widely used supplier onboarding and compliant master data management solution in global procure to pay processes. With over 250 clients in the Fortune 500 and Global 2000, apex is dedicated to providing companies and their suppliers with the ultimate supplier management experience. To support our commitment to innovation, we have built a highly experienced team of associates in key markets around the globe. Together we value performance, honor a diversity of perspectives, experiences and cultures, nurture candor, give back to the communities where we live and work, and have fun working together. For more information, visit www.apexanalytix.com or join our LinkedIn apexanalytix Community.







