Staff Applied AI Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Transform high-level business challenges into functional AI solutions through comprehensive implementation.

• Design, develop, and sustain backend services and APIs that deploy and integrate AI-driven features.

• Create scalable, reliable, and maintainable backend architecture for AI workflows, automation, and data processing pipelines.

• Integrate AI services with microservices, AWS, and Snowflake data systems.

• Establish experimentation frameworks that facilitate rapid test-and-learn cycles and iterative deployment.

• Collaborate with product managers, data scientists, and frontend engineers.

• Oversee the AI ecosystem, frameworks, and tools to inform implementation and technology adoption decisions.

• Document designs of backend systems, APIs, workflows, and integration patterns.

• Develop proof-of-concept solutions that address business challenges and opportunities.

⛳️ Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.

• Proven experience as a backend software engineer with strong programming capabilities.

• Proficiency in Python is preferred; experience with Ruby or Go is advantageous.

• Demonstrated ability to design and develop scalable backend systems, APIs, and distributed services.

• Strong understanding of cloud infrastructure, container orchestration, and deployment pipelines.

• Comprehensive knowledge of foundational model providers, AI APIs, data pipelines, and orchestration frameworks.

• Practical experience integrating third-party AI services and managing complex dependencies in multi-stack environments.

• Capability to rapidly prototype and iteratively enhance solutions.

• Excellent communication skills for conveying technical concepts to both technical and business stakeholders.

• Familiarity with AWS Bedrock, LangChain, vector databases, or similar AI orchestration technologies.

• Experience with automation, knowledge systems, and backend optimization related to AI-driven processes.

• Understanding of responsible AI principles, data privacy, and system reliability.

• Background in building APIs and backend components for real-time or near-real-time AI applications.

• Authorization to work for any employer in the United States.

• Disclosure of sponsorship requirements is necessary.

🏝️ Benefits

• 12% annual target bonus.

• Medical insurance.

• Dental insurance.

• Vision insurance.

• Commuter benefits.

• Flexible time-off policy.

• Paid parental leave.

• 401(k) match for US employees.

• Wellness reimbursement.

• Volunteering days.

• Annual professional development budget.

• Charitable donation match.

• Remote-first workplace flexibility.

• Access to premier office locations for in-person collaboration.

• Virtual and in-person team events.