Ai Engineer Jobs

About The Position

Requirements

• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
• 10+ years of software development experience with a strong track record of delivering complex, scalable backend systems
• Deep expertise in backend technologies — Java/Spring Boot and/or Python, with strong understanding of microservices architecture
• Extensive hands-on experience designing and deploying cloud-native applications on AWS and/or GCP (e.g., Kubernetes, Cloud Run, App Engine, BigQuery, Cloud SQL)
• Strong experience building and integrating complex RESTful and GraphQL APIs and data-intensive services
• Proficiency with relational and NoSQL databases (PostgreSQL, MongoDB)
• Hands-on experience with AI/ML integration in production systems, including AI-powered developer tooling
• Demonstrated ability to apply data engineering principles to build reliable, high-scale data pipelines and services
• Proven leadership experience — mentoring engineers, driving technical initiatives, and championing best practices
• Exceptional communication skills with the ability to articulate complex technical concepts to both technical and non-technical audiences

Nice To Haves

• Experience with MLOps and operationalizing AI/ML models in production
• Prior experience in healthcare technology with working knowledge of HIPAA compliance
• Familiarity with Google Cloud AI services (Natural Language API, Vertex AI, Gemini)
• Experience with Zendesk application development and support platform integrations
• Contributions to open-source projects or a strong personal project portfolio
• Experience with stream processing technologies (e.g., Kafka, Spark)
• Familiarity with additional cloud platforms (AWS, GCP, Azure)

Responsibilities

• Set the technical vision and drive architecture, design, and development of scalable, secure, and performant backend systems and platform services
• Drive architectural decisions and champion reusable, cloud-native patterns across engineering teams
• Lead end-to-end development of backend services, APIs, and data pipelines that power partner integrations and downstream systems
• Ensure the highest standards of code quality, security, and performance through rigorous code reviews, automated testing, and adherence to HIPAA and healthcare data compliance requirements
• Proactively identify and resolve complex technical challenges, driving continuous improvement across the platform
• Lead applied AI initiatives, collaborating with Engineering, Product, and Business stakeholders to integrate advanced AI models into products and services
• Implement and operationalize AI/ML capabilities including large language models, intelligent search, content summarization, and automated decision workflows
• Integrate and champion AI-powered developer tooling (e.g., GitHub Copilot, Cursor, Google Gemini) to accelerate engineering productivity across teams
• Shape the technical roadmap for AI-driven features, ensuring responsible AI development and deployment in a healthcare context
• Stay ahead of emerging AI and cloud technologies and advocate for their strategic adoption
• Partner closely with Product Managers, Data Scientists, Analytics, and Operations teams to translate business requirements into technical specifications and scalable solutions
• Collaborate with operations teams to improve efficiency through automation, real-time data validation, and intelligent workflows
• Contribute to all phases of the software development lifecycle — from requirements and design through implementation, testing, deployment, and maintenance
• Mentor and guide senior to lead engineers, fostering a culture of technical excellence, continuous learning, and collaborative problem-solving
• Act as a subject matter expert and thought leader on backend development, cloud-native architecture, and applied AI for the broader engineering organization
• Influence best practices in system design, testing, and continuous delivery

Benefits

• health insurance
• 401k
• paid time off