Generative AI Engineer

About this role

Company Description
KeeMakr AI is an AI operator focused on helping small and medium-sized businesses integrate and scale artificial intelligence across their operations. The company builds practical, domain-specific AI solutions that streamline workflows, improve decision-making, and unlock new growth opportunities for clients. KeeMakr AI emphasizes usability, reliability, and measurable business impact, partnering closely with customers to tailor solutions to their needs. Team members are encouraged to experiment, iterate quickly, and contribute directly to the evolution of AI tools that support real-world businesses.

Role Description
The Generative AI Engineer is a full-time remote role responsible for designing, building, and maintaining generative AI solutions that serve SMB clients. Day-to-day work includes developing and fine-tuning models, creating prompt pipelines, integrating AI services into existing systems via APIs, and optimizing performance for reliability and cost efficiency. The role involves collaborating with product, design, and customer-facing teams to translate business requirements into technical solutions, and to iterate based on user feedback and usage metrics. The engineer will also set up evaluation frameworks, monitor model outputs for quality and safety, and contribute to documentation and best practices for AI deployment within the company. This role is expected to stay current with emerging generative AI techniques and tools, and to propose improvements that enhance KeeMakr AI’s platform and offerings.

Qualifications

• Strong software engineering skills, including experience with Python and modern development practices (testing, version control, CI/CD).
• Hands-on experience with generative AI models and tools (e.g., large language models, image or multimodal models, prompt engineering, fine-tuning, RAG pipelines).
• Familiarity with machine learning concepts and frameworks (e.g., PyTorch, TensorFlow, or similar) and exp...