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Experior Financial Group · 20 hours ago

AI Engineer

United States

Full-time

Remote

Senior Level

$120K/yr - $150K/yr

5+ years exp

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.

Financial ServicesInsuranceLife Insurance

Growth Opportunities

No H1B

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

Qualification

AI/ML systems designPython programmingLLMsEmbeddingsCloud ecosystemsData pipelines integrationAnalytical thinkingCuriosity for AI toolsCommunication skillsCollaboration skills

Required

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