Senior AI Developer

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

📋 Description

• Design, implement, and deploy ML/AI models from conception to production, encompassing data pipelines, training workflows, and optimization.

• Maintain and enhance AI systems in production by monitoring for drift, troubleshooting issues, and improving reliability and scalability.

• Utilize AI-centric coding tools like Claude and Cursor to deliver high-quality outputs.

• Collaborate with product, engineering, and data teams to ensure alignment of AI initiatives with product and business objectives.

• Translate technical trade-offs, model behavior, and constraints into comprehensible terms for non-specialists.

• Engage in code reviews and participate in design discussions.

• Contribute to decisions regarding AI architecture and long-term technical strategy.

• Take ownership of significant work from start to finish, including the productionization of AI systems.

• Elevate engineering standards and mentor junior engineers.

⛳️ Requirements

• Minimum of 4 years of professional software engineering experience, with at least 2 years centered on AI/ML systems in production and direct involvement in generative AI development.

• Strong foundation in software engineering (Python or similar languages).

• Familiarity with cloud platforms, ideally with extensive knowledge of AWS services and AWS GenAI offerings.

• Demonstrated capability to design and deliver autonomous systems.

• Experience with AI frameworks and orchestration tools.

• Knowledge of evaluation frameworks and observability tools for LLM applications.

• Understanding of AI safety, responsible AI principles, defenses against prompt injection, and handling of PII.

• Practical experience in building RAG pipelines, including chunking strategies, embedding models, and vector databases.

• API development experience, including the design and integration with both internal and third-party services.

• Expertise in cost optimization, covering token economics, caching strategies, model routing, and quantization.

• Proficiency in Docker and Kubernetes for containerized deployments.

• Proven daily usage and knowledge of AI-driven coding tools like Claude Code and Cursor.

• Strong problem-solving abilities with the capacity to tackle ambiguous technical challenges judiciously.

• Ability to work collaboratively, articulate technical trade-offs to non-specialists, and provide constructive feedback.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health, dental, and vision insurance.

• Flexible work hours and remote work opportunities.

• Professional development and ongoing education support.

• Collaborative and innovative work environment.