AI Engineer building intelligent systems and data-driven insights for Experior Financial Group Inc. Collaborating with technical leaders to deploy robust AI architectures and mentor junior developers.
Responsibilities
Collaborate with the CTO, AI consultant, and development team to design and deploy robust, scalable AI/ML architectures
Develop, train, and maintain AI models, data pipelines, and integrations with APIs, databases, and SaaS platforms
Experiment with new LLMs, embeddings, vector databases, and orchestration frameworks (e.g., LangChain, Semantic Kernel, or similar)
Lead hands-on development/ prototyping of LLM-based applications, intelligent agents, and automation workflows
Define AI architecture standards, establish model governance, and contribute to the long-term AI strategy in collaboration with the CTO
Partner with business and technical leaders to translate strategic AI goals into actionable engineering initiatives
Design systems for high availability, scalability, and efficient deployment in cloud environments (Azure, AWS, or GCP)
Create technical documentation, architecture diagrams, and playbooks for deployment and scaling of AI solutions
Participate in code reviews, mentor junior developers, and foster a culture of innovation and excellence in AI engineering
Stay at the forefront of emerging AI frameworks, APIs, and tools, bringing forward practical innovations to enhance products and systems
Requirements
5+ years of professional software development experience required
3+ years of building or designing AI/ML systems is required
Proficiency in Python, C#, or similar programming languages
Hands-on experience with LLMs, vector databases, embeddings, and prompt orchestration
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