Principal Software Engineer

Job Summary:

We are seeking an experienced Principal Software Engineer to lead the design and development of advanced AI and machine learning solutions with a strong focus on Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic workflows. The ideal candidate will combine deep software engineering expertise with hands-on machine learning engineering experience to build scalable, production-ready AI systems. This role requires strong Python engineering skills, architectural leadership, and the ability to guide technical strategy across AI initiatives.

Key Responsibilities:

• Design, develop, and implement scalable AI and machine learning systems in production environments
• Lead architecture and engineering efforts for LLM, RAG, and agentic AI solutions
• Develop and maintain high-quality Python applications and frameworks
• Build and optimize AI pipelines, APIs, and distributed systems
• Provide technical leadership and architectural guidance across AI and software engineering teams
• Collaborate with cross-functional teams to deliver scalable and reliable AI solutions
• Review code, mentor engineers, and establish engineering best practices
• Troubleshoot and resolve complex engineering and system performance issues
• Drive innovation and continuous improvement in AI engineering processes and system design
• Ensure system reliability, scalability, security, and maintainability

Required Skills:

• 10+ years of experience in software engineering with recent experience at Principal or Architect level
• Strong hands-on experience in Machine Learning Engineering and AI system development
• Extensive experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI workflows
• Advanced Python programming and software engineering expertise
• Strong understanding of scalable system architecture and distributed systems
• Experience designing and deploying production-grade AI applications
• Strong problem-solving, debugging, and analytical skills
• Excellent collaboration, communication, and leadership abilities

Preferred Skills:

• Experience with cloud platforms and AI infrastructure
• Familiarity with MLOps, CI/CD pipelines, and containerization technologies
• Experience with vector databases, orchestration frameworks, and AI workflow automation
• Knowledge of API development and microservices architecture

Education:

Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or related field