Senior Consultant - AI Engineer Seattle, WA

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. 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.

This position requires strong technical depth, a problem‑solving mindset, and the ability to move efficiently from concept to deployment in a fast‑paced environme 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.

YOUR EXPERIENCE 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 Familiarity with AI development tools such as GitHub Copilot or similar Understanding of prompt engineering, evaluation techniques, and observability for AI systems Knowledge of data security and privacy considerations in AI solutions Strong problem‑solving skills and ability to work independently within defined scope Preferred Qualifications Experience with frameworks such as LangChain, LlamaIndex , or similar Familiarity with vector databases or graph‑based data systems Experience building reusable AI components or internal AI platforms Exposure to advanced Azure AI services such as Azure OpenAI or Azure AI Search WHAT WE OFFER The annual salary range for this role is $175,000-$200,000. We offer Medical, Dental, Vision plans, 401K with matching, and PTO for salaried employees. Work/life balance – we know there’s more to life than work!

We encourage our team to pursue other passions, get outside, and spend time with family. We work with clients and consultants to set expectations for a manageable workload. LOCATION This role is hybrid with some on‑site presence required at our client's Seattle, WA location.

HOW TO APPLY Please fill out the form below (including uploading your most recent resume) and we'll be in touch! We know imposter syndrome can be a barrier to many great applicants. We hope you'll still consider applying.

That's why we've made the application process as short and simple as possible. Even if you're not a fit for the role, you can expect to hear back from us! We want you to have the best experience as a candidate, so please feel free to share feedback at any stage of the process to [email protected] .

Kalles Group is an equal‑opportunity employer and does not discriminate on the basis of creed, nationality, race, ethnicity, disability, gender, or other protected class. #J-18808-Ljbffr