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
Experience working in Agile development environments (Scrum, Kanban, etc.)
Requirements
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
Benefits
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 pDental insuranceVision insurance401(k)Paid time off
Additional Information
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.
Kallesgroup · Seattle, WA