AI Engineer

Experior Financial Group

AI Engineer developing intelligent systems and automation for Experior Financial Group Inc. Collaborating with the development team to design and deploy AI/ML architectures.

Posted 6/5/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $120,000 - $150,000 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformPython

About the role

Key responsibilities & impact

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 our products and systems

Requirements

What you’ll need

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
Familiarity with AI/ML frameworks (OpenAI, Hugging Face, LangChain, Semantic Kernel, etc.) and cloud ecosystems (Azure AI, AWS SageMaker, GCP Vertex AI).
Experience developing and integrating data pipelines, APIs, and AI inference service
Strong analytical thinking, communication, and collaboration skills
Ability to balance hands-on technical work with high-level system design and strategic planning
Curiosity and drive to stay ahead of emerging AI tools, frameworks, and trends
Must reside and be authorized to work in the USA

Benefits

Comp & perks

Work-life balance with paid vacation and sick days
Competitive compensation
Comprehensive medical, dental, and vision benefits
Flexible work options
Career growth and development opportunities
Diverse team environment
Straight day shifts with no weekends
Company events and celebrations
Tuition reimbursement
Company-provided equipment

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI/ML architecturesAI modelsdata pipelinesAPIsPythonC#LLMsvector databasesembeddingsorchestration frameworks

Soft Skills

analytical thinkingcommunicationcollaborationcuriositystrategic planning