PMG’s Alli is a cloud-based suite of AI-powered tools for digital marketers. Last year, Alli enabled ad delivery to over 1 billion consumers in 80 countries for some of the world’s most iconic brands, including Apple, Nike, and McDonald’s. 

Established in Fort Worth in 2010, PMG was profitable from day one and has grown with no outside investment to 700 employees currently working in 7 offices and remotely. The company is defined by its people-centered culture and has led AdAge’s annual Best Places to Work list for 8 years in a row. 

As PMG is transitioning into an AI-first organization, we are looking for engineers who want to build the impossible. Our team doesn't just dream up futuristic platforms - we ship them!

Technologies We Employ:

• Cloud Platforms: AWS and GCP
• Programming Languages: PHP, JS/React, Go, Python 
• Databases: Redshift, Postgres, Mongo, Redis, OpenSearch
• DevOps: Docker, Terraform, GitHub
• Process: SCRUM-inspired agile development
• Ai: Langchain, Bedrock, SageMaker, OpenAi

Responsibilities:

• Design and implement complex, highly scalable technical solutions;
• Conduct coding, debugging, testing, and troubleshooting across the application development lifecycle;
• Mentor junior and intermediate-level developers; 
• Draft and implement architectural designs to produce reliable, state-of-the-art products;
• Collaborate with designers and product managers to deliver new components and features;
• Lead code reviews, offering insightful feedback to your peers;

Requirement Skills & Experience:

• Minimum 5 years of software development experience in PHP, GO, Python, or similar object-oriented languages;
• Minimum 3 years of experience with high-performance frameworks like Symfony, Beego, Django, or similar, suitable for enterprise-level web applications;
• At least 3 years of experience working with AWS or other cloud providers;
• Strong expertise in RESTful API design; 
• Deep understanding of system design principles;
• Expertise in SOLID software engineering practices (OOA/OOD, CI/CD);
• Proficiency in your chosen development tools (IDE, shell, debugging tools, etc.);
• Strong foundational knowledge of algorithms and data structures;
• Strong commitment to Agile values and principles;

Preferred, not required:

• AWS Solutions Architect - Professional certification;
• Prior experience working with Large Language Models (LLMs) and a broad range of Machine Learning algorithms and techniques;
• Prior experience with vector storage and embeddings;
• Familiarity with Infrastructure-as-Code tools like Terraform;
• Bachelor's or Master's degree in Computer Science or Computer Engineering;