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
