Senior Consultant - AI Engineer

THIS ROLE IS LOCATED ON- SITE IN SEATTLE, WA. WE ARE CURRENTLY ONLY CONSIDERING CANDIDATES WHO ALREADY LIVE IN THE GREATER SEATTLE AREA. ABOUT KALLES GROUP: Everyone deserves to be secure.

Our mission at Kalles Group is to help secure the future for companies of all shapes and sizes. While our expertise spans multiple disciplines, our method remains consistent: building trust and relationship with people -- whether you are a client, a consultant, or--in this case--a candidate. No matter what role you come from--whether you're an executive or just starting your career-you can expect our highest level of attention and respect.

We want to find the right fit for each role, but we also want you to find the right fit for your career. We believe the best way to show you what our team is like is to treat you like you're already a part of it . We hope you'll consider joining our team of experienced professionals who are building their careers at Kalles Group—and having fun while doing it.

WHAT YOU WILL DO

: As an AI Engineer Consultant , you will work as a hands-on technical contributor building and delivering advanced AI solutions for our client. In this role, you will design, develop, and deploy scalable AI and machine learning systems that integrate seamlessly into enterprise environments. You will partner with engineers, product stakeholders, and technical leadership to translate business needs into robust, production-ready solutions.

Your work will focus on developing modern AI capabilities, including large language model (LLM) applications and intelligent workflows, while leveraging cloud-native services in Azure. You will play a key role in implementing reliable, secure, and high-performing AI solutions, contributing to architecture decisions, and improving engineering practices across the team.

KEY RESPONSIBILITIES

: Design, build, and deploy AI/ML solutions using Python and Azure-based services Develop LLM-powered applications , including agent-based workflows and multi-step orchestration Integrate AI capabilities into enterprise systems using APIs, microservices, and cloud-native architecture Translate business and technical

Requirements

into scalable, maintainable solutions Collaborate with cross-functional teams including engineering, product, and program stakeholders Contribute to solution architecture discussions, including tool selection and design trade-offs Utilize AI-assisted development tools to improve efficiency while maintaining high code quality Participate in code reviews, testing, and CI/CD processes to ensure reliable deployments Deploy, monitor, and optimize AI solutions in production, focusing on performance, cost, and reliability Troubleshoot issues across development and production environments Contribute to reusable components, shared frameworks, and best practices for AI engineering Support data preparation, prompt engineering, and evaluation to improve model effectiveness Stay current on emerging AI technologies and identify opportunities to enhance solutions ABOUT YOU: Your values: Integrity: You believe in doing the right thing, even when it's uncomfortable, seemingly inefficient, or costly. Purposefulness: You have a desire to serve others with your skillset and an openness to continuous learning and growth. Ownership: You stick to your commitments, follow up with action, and seek clarity in communication expectations.

Required Qualifications

Bachelor’s degree or equivalent practical experience Strong programming skills in Python Hands-on experience with modern AI/ML technologies , including LLMs and retrieval-augmented generation (RAG) solutions Experience integrating AI services into applications using APIs and cloud platforms (preferably Azure) Experience deploying and supporting AI/ML systems in production environments Fa