Senior AI Developer

WHAT WE CAN OFFER YOU:

• Estimated Salary: $150,000 – $175,000, plus annual bonus opportunity.
• Benefits and Perks, 401(k) plan with a 2% company contribution and 6% company match.
• Regular associates working 40 hours a week can earn up to 15 days of vacation each year.
• Regular associates receive 11 paid holidays in 2024, which includes 2 floating holidays that are added to your prorated personal time to be used at your discretion.
• Regular associates are provided sick leave through the use of personal time. Associates working 40 hours a week can receive up to 40 hours of personal time in 2024, which is prorated based on the start date. Additionally you will receive two floating holidays in 2024 by way of personal time that may be used at your discretion.
• Applicants for this position must not now, nor at any point in the future, require sponsorship for employment.

WHAT YOU’LL DO:

• Lead the design, development, and deployment of Generative AI and LLM applications by immersing yourself in the needs of operational areas to build empathy for business challenges and applying engineering best practices to build innovative, robust and reliable solutions that meet their needs.
• Develop and maintain AWS infrastructure, with a focus on cloud resource management, security, and cost optimization. Prioritize security and fairness throughout the development and deployment process to protect our customers.
• Collaborate on systems design and integration with both front-end and back-end (including legacy) systems, ensuring smooth operation and scalability. Maintain production reliability, CI/CD pipelines, and automated testing to support continuous delivery.
• Lead the end-to-end lifecycle of AI/ML projects. Improve accuracy by employing systematic experimentation, prompt engineering, data and training versioning, and A/B testing to empirically optimize model performance. Implement MLOps best practices to streamline the lifecycle of AI models.
• Lead iterative delivery using agile methodologies, incorporating feedback and fostering a culture of continuous improvement to rapidly develop, test, and refine solutions. Stay updated on advancements in genAI, cloud technologies, and ethical considerations in AI.

WHAT YOU’LL BRING:

• Bachelor’s degree in Computer Science, Engineering, or analytical fields (Mathematics, Data Science, etc.), or equivalent experience, with at least 8 years deploying and supporting full-stack applications in enterprise environments, and several years of experience integrating AI, MLOps into full-stack applications.
• Experienced in full-stack development (backend, frontend, and database technologies) with expertise in frameworks like Vue.js or Flask, and strong skills in Python, JavaScript, git, CI/CD pipelines, automated testing, and DevOps best practices.
• Experienced in AWS services, particularly Bedrock, SageMaker, S3, Lambda, and infrastructure as code (cdk). Extensive experience applying software engineering design patterns and enterprise application architecture principles to build secure, scalable, maintainable, and cost-optimized cloud-native applications.
• Experienced at data science, machine learning techniques, and data engineering. Skilled at addressing fairness in AI development and applying experimentation and A/B testing methodologies to empirically evaluate and improve model performance.
• Strong communicator and collaborator, experienced at building partnerships in remote environments. Resilient and resourceful problem solver, proactive at overcoming obstacles to achieve goals. Comfortable with ambiguity and change, demonstrating high learning agility, adapting quickly to shifting priorities, and bringing clarity to undefined problems.
• You promote a culture of diversity and inclusion, value different ideas and opinions, and listen courageously, remaining curious in all that you do.
• Able to work remotely with access to a high-speed internet connection and in a listed location.

PREFERRED:

• Product and industry knowledge. Advanced degree in an analytical field.
• Familiarity with LangChain and LangGraph for building LLM-based applications.
• Proven experience with MLOps and implementing automated pipelines for model and algorithm training, monitoring, versioning, deployment, and scaling in production environments.

We value diverse experience, skills, and passion for innovation. If your experience aligns with the listed requirements

If you have questions about your application or the hiring process, email our Talent Acquisition area at [email protected]. Please allow at least one week from time of applying if you are checking on the status.

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