Experior Financial GroupRemote
AI Engineer
United States of America
Full-time
4 weeks ago
$120,000 - $150,000 USD
No H1B
Key skills
AI/ML systems designPython programmingLLMsembeddingsCloud ecosystemsData pipelines integrationAnalytical thinkingCuriosity for AI toolsCommunication skillsCollaboration skillsPythonC#CAIMLLLMOpenAIHugging FaceLangChainAWSAzureGCPSageMakerVertex AISaaSStrategic PlanningPrototypingCommunicationCollaboration
About this role
Experior Financial Group Inc. is looking for a driven AI Engineer to join their high-impact AI development team. The role involves designing and deploying scalable AI solutions, collaborating with various stakeholders, and staying updated with emerging AI technologies.
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 our 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
- 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