MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications.

The Opportunity

As a Forward Deployed AI Engineer on our newly formed Field Engineering team, you’ll work directly with enterprise customers on high-impact projects that leverage Generative AI, LLMs, and modern application development. You’ll be hands-on in helping organizations migrate legacy databases, modernize their architecture, and integrate AI-driven functionality into their applications. This is a rare opportunity to apply your software engineering expertise while driving AI adoption across industries. You’ll not only solve challenging, real-world engineering problems, but also influence MongoDB’s AI strategy and product direction.

This role can be based out of our Sydney/Melbourne office or remotely in Australia.

What You’ll Do

• Work with enterprise customers to refactor applications, migrate legacy databases, and optimize performance using MongoDB.
• Prototype and build AI-powered features, leveraging LLMs and Generative AI frameworks to improve software development workflows and application functionality.
• Apply modern software engineering practices to accelerate customers’ AI adoption, helping them implement microservices-based architectures, intelligent automation, and AI-enhanced applications.
• Influence MongoDB’s AI and software development roadmap by sharing insights from real-world implementations and customer needs.
• Collaborate across engineering, product, and customer teams to create scalable, resilient software solutions.

What We’re Looking For

• 8+ years of experience in software engineering, with a proven track record of delivering impactful technical solutions for enterprise clients, using Java, Python, and SQL.
• An engineering degree in Computer Science, Machine Learning, Mathematics, Network Engineering, or Electrical Engineering.
• Deep expertise in AI  concepts, Generative AI (e.g., LLMs, fine-tuning, embeddings), and open-source AI development. 
• Experience designing and implementing AI-powered applications, AI-driven data migration, or intelligent automation is highly preferred.
• Proficient in test-driven development methodologies and familiar with monolithic vs. microservices architectures, including database migration and refactoring.
• Exceptional problem-solving skills and a passion for solving complex, large-scale engineering challenges by leveraging GenAI.
• Preferred qualifications: Preferred qualifications: Academic research experience in parsing, AI/ML, or programming languages.

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

REQ ID: 1263104421