Software Engineer

Key Responsibilities:

• Design, develop, and maintain web applications and backend services that integrate ML-powered features.
• Collaborate closely with Machine Learning Engineers and Product Managers to understand ML system requirements and translate them into robust software solutions.
• Build reliable, scalable, and low-latency services that support ML inference, data workflows, and AI-driven user experiences.
• Use LLMs to build scalable and reliable AI agents.
• Own the full software development lifecycle: design, implementation, testing, deployment, monitoring, and maintenance.
• Ensure high standards for code quality, testing, observability, and operational excellence.
• Troubleshoot production issues and participate in on-call or support rotations when needed.
• Mentor junior engineers and contribute to technical best practices across teams.
• Act as a strong cross-functional partner between product, engineering, and ML teams.

Required Qualifications:

• Minimum of 5 years of professional experience in software engineering.
• Advanced skills in Python, web backend development, and building AI agents.
• Knowledge of containerization tools (Docker, Kubernetes) or cloud platforms (AWS, GCP).
• In-depth understanding of web application architecture and API design principles.
• Proven experience integrating with external services or intricate backend systems.
• Experience working with LLMs to develop AI agents that are scalable and reliable.
• Experience evaluating and benchmarking AI products.
• Demonstrated ability to work autonomously, showing high ownership and accountability.
• Excellent communication skills and experience collaborating effectively with diverse, cross-functional teams.
• Flexibility to adjust working hours to accommodate the needs of a global team.
• Experience using AI Coding Agents like Claude Code to develop reliable, scalable and high quality code.

Valuable / Bonus Qualifications:

• Experience with ML frameworks like PyTorch.
• Experience with serving ML models and LLMs (vLLM).
• Experience collaborating with Machine Learning (ML) or data teams.
• Familiarity with ML concepts, including inference, model serving, latency considerations, and data pipelines.
• Experience utilizing PostgreSQL, Object-Relational Mappers (ORMs), ETL pipelines.
• Experience developing developer-facing tools or internal platform solutions.

LandingAI Benefits:

• Stock Options – We want you to share in our success with equity grants.
• Comprehensive Healthcare – Medical, dental, and vision coverage for you and your dependents.*
• Wellness Stipend – Support for your health and well-being, whether it’s fitness programs or self-care.*
• Lifelong Learning – An education stipend to help you grow and keep learning.
• Generous PTO – We know life happens outside of work, and we want you to enjoy it.*
• Global Team & Fun Events – Work with amazing colleagues across North America, Latin America, and Asia, and connect through virtual and in-person events.
• *Benefits may vary based on your country of employment.