Software Engineer

San FranciscoFull timemid

Software EngineerSoftware Engineering

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Overview

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anthropicawsdockergcpkubernetespostgresqlpythonpytorchapi-designetlmachine-learning

LandingAI is a leader in Agentic Document Intelligence. Our flagship solution, Agentic Document Extraction (ADE), replaces traditional OCR with layout-aware AI system that parses complex documents without the need for rigid templates. By providing visual grounding for full auditability, ADE enables high-stakes industries like financial services and healthcare to extract valuable data and to automate critical workflows with unmatched accuracy. In addition to document intelligence, we offer the LandingLens™ platform for vision-AI anchored computer vision applications including inspection, defect detection and robotics.

About the Role:

As a Software Engineer at LandingAI, you will build and maintain core web applications and services that power our AI-driven products. While you will not be responsible for developing machine learning models, you will work very closely with ML engineers to integrate ML capabilities into scalable, reliable, and user-friendly software systems. This role sits at the intersection of software engineering and applied AI, enabling ML innovations to reach customers through high-quality products.

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.

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.

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.

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.