*** PLEASE NOTE: This role is on-site/hybrid in Raleigh, NC ***
Are you passionate about building next-generation AI solutions that transform how professionals work with information and insights?
Do you thrive on solving complex challenges with Retrieval-Augmented Generation (RAG), agentic AI systems, and cloud-native machine learning technologies?
About the RoleWe are seeking a highly skilled AI Engineer with expertise in Retrieval-Augmented Generation (RAG) and strong Python programming skills to join our innovative team. The ideal candidate will have a deep understanding of AI and machine learning principles, experience with RAG models, and a passion for developing cutting-edge AI solutions.
Key Responsibilities:- Test, evaluate and and implement AI models with a focus on Retrieval-Augmented Generation (RAG).
- Strong prompt engineering and prompt testing skills to derive the desired outcome
- Collaborate with cross-functional teams to integrate AI solutions into existing systems.
- Optimize and fine-tune RAG models for performance and scalability cost saving.
- Conduct research and stay up-to-date with the latest advancements in AI and machine learning.
- Design, build, and deploy agentic AI systems capable of autonomous planning, tool use, and multi-step task execution using frameworks such as LangGraph, AutoGen, or CrewAI.
- Architect and deploy AI/ML and RAG solutions on AWS, leveraging services such as SageMaker, Bedrock, Lambda, and S3.
- Write clean, efficient, and maintainable code in Python.
- Perform data preprocessing, feature engineering, and model evaluation.
- Troubleshoot and debug AI models and applications in a mono-repo settings.
- Document AI models, processes, and workflows.
Qualifications:- Proven experience as an AI Engineer or similar role.
- Strong proficiency in Python programming.
- In-depth knowledge of Retrieval-Augmented Generation (RAG) models.
- Proven experience in prompt engineering
- Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch).
- Proficiency in data preprocessing and feature engineering techniques.
- Hands-on experience building agentic AI applications, including tool/function calling, multi-agent orchestration, and autonomous workflow design.
- Demonstrated experience with AWS cloud services (e.g., SageMaker, Bedrock, Lambda, EC2, S3) for developing and deploying AI/ML solutions.
- Excellent problem-solving skills and attention to detail.
- Strong communication and teamwork abilities.
Preferred Skills:- Experience with cloud platforms, particularly AWS (e.g., SageMaker, Bedrock, Lambda, ECS/EKS, S3); familiarity with Azure or Google Cloud is a plus.
- Experience with agentic AI frameworks and tooling (e.g., LangGraph, LangChain, AutoGen, CrewAI, AWS Bedrock Agents, Model Context Protocol).
- AWS certification (e.g., AWS Certified Machine Learning - Specialty or AWS Certified Solutions Architect).
- Knowledge of natural language processing (NLP) techniques.
- Familiarity with version control systems (e.g., Git).
- Experience with deploying AI models in production environments.
Work in a Way That Works for YouWe promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.
Working PatternWorking flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.
U.S. National Base Pay Range: $104,900 - $174,700. Geographic differentials may apply in some locations to better reflect local market rates.This job is eligible for an annual incentive bonus.
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
