AI-Native Software Engineer: LLMs & Gen AI

SupportFinity™; Seattle (WA); On-site; USD 180,000 - 260,000; Full time

Benefits offered by this job

Bonus

Equity

Benefits

Job summary

Meta is seeking software engineers to help build AI-native experiences across platforms. You will work on integrating LLMs and AI capabilities into mobile and web surfaces, designing prompt strategies, and creating scalable components for model serving and AI toolchains.

The role emphasizes end-to-end ownership of features, collaboration across product, design, and operations, and a strong focus on quality, reliability, and cost efficiency in AI-driven experiences.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• 8+ years of programming experience in a relevant language OR a PhD + 4 years programming experience in a relevant language.
• Experience building maintainable and testable codebases, including API design and unit testing techniques.
• Experience collaborating cross-functionally and contributing to technical decisions through influence, communication, and execution.
• Experience effectively utilizing AI technologies and tools (e.g., large language models, agents, etc.) to enhance workflows.

Responsibilities

• Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative AI-native application experiences.
• Build and integrate LLM / generative AI capabilities into product surfaces (mobile, web), including prompt engineering, structured prompting, and context management.
• Develop and maintain reusable software components for interfacing with back-end platforms, model serving/inference layers, and AI toolchains.
• Implement retrieval-augmented generation (RAG) patterns and contribute to context-aware and personalized user experiences.
• Contribute to agentic workflows and AI agents to automate repetitive tasks and scale impact.
• Analyze, debug, and optimize code and systems for quality, efficiency, performance, reliability, and cost.
• Establish effective quality practices for AI features, including evaluation/QA for AI outputs, monitoring, and iterative improvement via feedback loops.
• Architect efficient and scalable systems that power complex applications and AI-enabled features, identify and resolve performance and scalability issues.
• Drive end-to-end execution of medium-to-large features with increasing independence, contribute to technical direction within the team.
• Establish ownership of components, features, or systems with comprehensive end-to-end understanding.

Education

Bachelor's degree or equivalent

Tools

PyTorch

TensorFlow

Python

LLMs

Job description

Meta is seeking software engineers to help build AI-native experiences across platforms. You will work on integrating LLMs and AI capabilities into mobile and web surfaces, designing prompt strategies, and creating scalable components for model serving and AI toolchains.

The role emphasizes end-to-end ownership of features, collaboration across product, design, and operations, and a strong focus on quality, reliability, and cost efficiency in AI-driven experiences.