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JBA International · 4 months ago

Principal Staff Software Engineer

San Francisco Bay Area, California, US

Full-time

Onsite

Lead/Staff

12+ years exp

JBA International is a company focused on enterprise AI solutions, and they are seeking a Principal Staff Software Engineer to shape their AI platform's architectural and technological direction. The role involves collaborating with various teams to design and enhance AI-driven products while providing technical leadership and mentorship within the organization.

ConsultingHealth CareLegalProfessional Services

Diversity & Inclusion

No H1B

U.S. Citizen Only

Responsibilities

Lead the design and implementation of scalable, secure, and highly available enterprise cloud AI platform services and infrastructure

Drive the evolution of our microservices architecture to improve performance, resilience, and developer productivity

Provide technical guidance and mentorship to engineers fostering a culture of continuous improvement and learning

Establish and enforce best practices, and development methodologies to ensure quality and maintainability of cutting-edge AI systems and solutions

Partner with other AI research and engineering teams, product and UX teams to translate business needs into efficient, reliable, and user-centric software solutions

Lead architectural reviews and contribute to roadmap planning, ensuring alignment with company goals and strategic initiatives

Evaluate current and emerging AI technologies, frameworks, and tools to drive innovation and efficiency within the engineering organization

Experiment with and implement advanced AI/ML methods in collaboration with the AI research engineering team and help shape the technical strategy for the enterprise AI platform

Advocate for best-in-class CI/CD, automated testing, observability, and security practices, leveraging AI

Ensure compliance with industry standards, data privacy laws, and internal security policies

Qualification

AI/ML expertiseCloud-native architectureMicroservices architectureDistributed systemsProgramming languagesSQL/NoSQL databasesCI/CD practicesCommunication skillsProblem-solving skillsLeadership skills

Required

Bachelor's or master's degree in Computer science, ML/AI, Software Engineering, or related field. Equivalent experience also considered

12+ years of software development experience, with at least 3 years in a lead or principal engineering role

Proven track record building distributed, high-volume, low-latency systems using modern programming languages (e.g., Python, Go, Java, or C++)

Strong understanding of cloud-native architectures, containers, and orchestration systems (e.g., Kubernetes) and familiarity with AWS, GCP, or Azure

Experience with SQL/NoSQL databases, streaming platforms (e.g., Kafka), and scalable storage solutions

Deep knowledge of microservices, RESTful APIs, GraphQL, and event-driven design patterns

Deep expertise and experience building and leveraging machine learning workflows and libraries (e.g., TensorFlow, PyTorch, Scikit-learn) in a platform to drive business critical products and solutions

Expertise and experience building platforms and applications with modern GenAI technologies, LLMs and AI agent frameworks like LangChain, LlamaIndex, AutoGen etc. in production environments

Exceptional communication skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders both within and outside the company

Strong problem-solving skills, attention to detail, and ability to drive projects from concept to completion

Demonstrated ability to lead and influence without direct authority, working effectively in a collaborative, fast-paced startup environment