AI Engineer - Advanced Experience

This is a Fully Remote Job

1. About Our Client:

The organization operates in the artificial intelligence sector, focusing on creating advanced AI systems that solve complex and ambiguous business challenges. It develops production-grade AI applications and workflows that integrate machine learning and large language models, aiming to enhance decision-making and automation at scale.

2. About the Opportunity:

The AI Engineer - Advanced Experience is responsible for designing and delivering complex AI solutions that address high-impact business problems. This role involves developing and owning AI systems end-to-end, ensuring they are reliable, secure, and aligned with enterprise standards. The position contributes significantly by shaping AI architecture, guiding technical decisions, and mentoring team members to advance the organization’’s AI capabilities.

3. Responsibilities:

• Design and manage end-to-end AI solutions including LLM applications and machine learning models.
• Build and operate AI systems such as agentic workflows and retrieval-augmented generation platforms.
• Analyze business challenges to select appropriate AI methods and architectures.
• Develop evaluation strategies to measure model performance and business impact.
• Lead the creation of data pipelines and feature strategies supporting AI systems.
• Ensure production readiness with focus on performance, reliability, and cost-effectiveness.
• Identify and address risks like bias, hallucination, and data leakage.
• Collaborate with cross-functional teams to guide solution design and delivery.
• Mentor team members and contribute to AI engineering standards and best practices.

4. Requirements:

• Bachelor’s degree in Computer Science, Software Engineering, Data Science, or related field, or equivalent experience.
• Minimum five years of experience in software engineering, data science, machine learning, or AI development.
• Advanced skills in software engineering with Python, APIs, testing, and system design.
• Proficiency with large-scale data platforms such as Snowflake, Databricks, Amazon Redshift, or Microsoft Synapse.
• Strong knowledge of machine learning concepts, evaluation, and failure modes.
• Experience designing and deploying LLM-based systems using enterprise platforms.
• Familiarity with AI orchestration frameworks like LangChain, LangGraph, LlamaIndex, or Semantic Kernel.
• Deep understanding of data quality, feature relevance, and model behavior.
• Experience in deploying, monitoring, and improving AI systems in production.
• Ability to balance technical tradeoffs involving accuracy, cost, risk, and scalability.
• Strong communication and leadership abilities to influence technical direction and mentor others.

5. Pay Range and Compensation Package:

• The pay range and compensation package for this role will be determined based on the candidate’s experience, skills, and other relevant factors.

6. Benefits & Perks:

• Health insurance
• Vision insurance
• Dental insurance
• 401(k)
• Paid time off
• Parental leave
• Training and development
• Wellness resources
• Opportunity for advancement

Equal Opportunity Statement:

Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.

Note:

TalentHop is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.