Software Engineer 3, Code Modernization (AI)

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.

MongoDB is seeking a Software AI Engineer to help develop and ship AI-powered features that accelerate customer workload migration to MongoDB. You'll be building robust AI agents, not just incremental updates, with your work having high visibility and broad impact across the organization.

Many organizations have amassed extensive portfolios of legacy applications. Lack of scalability and resilience, lengthy development times, high operating costs, and the inability to run on the cloud are common issues with these applications. To address these issues, organizations are engaging in large transformational Application Modernization programs. MongoDB is recognized as the developer data platform of choice for transactional systems, offering the best scalability, resiliency, and developer experience in both the cloud and on-premises environments. Organizations continuously migrate workloads from these legacy applications to new platforms, often based on microservices, using MongoDB.

Such transformations are very time-intensive and often risky. MongoDB is bolstering its team by creating tools that guide customers in transitioning their applications from relational databases to MongoDB. As businesses evolve their application development frameworks, they're increasingly drawn to the versatility of the document model.

• Design and build code-to-code translation solutions to automate the migration of codebases from relational databases to our document-based model
• Contribute to AI projects and applications end-to-end, working in a cross-functional setting. This includes method and model selection, fine-tuning, prompt engineering, performance assessment, and collaboration with engineering teams to integrate AI into broader systems
• Collaborate with other software engineers, AI engineers and stakeholders to continuously evolve and improve AI-powered products
• Help the team to learn and apply the latest industry developments in the AI field
• Build evaluation and monitoring frameworks for AI products in production
• Contribute to the development of our agent framework and capabilities
• Further improve the team’s best practices for AI development and deployment

• Degree in Computer Science, Engineering, related quantitative field or equivalent experience
• Demonstrated effectiveness in contributing to the delivery of new products in research or startup environments
• Knowledge of database schema design principles for both relational and document-based models
• 2+ years of software engineering and/or product engineering experience
• 1+ years of industry experience in AI with demonstrated results
• Experience building Generative AI applications, specifically Agentic flows, RAG, or any state of the art methods in leveraging language models
• Experience building evaluation frameworks for AI applications that leverage foundational models
• Strong fundamentals in Software Engineering
• Ability to drive 0-1 / MVP projects, rapid prototyping
• Experience with static code analysis tools is a plus

• You're passionate about generative AI technology and have contributed to an existing generative AI system
• You're excited about joining a growing team and helping shape its culture and direction
• You're comfortable taking initiative on new concepts with some direction
• You’re able to drive down ambiguity with some direction in order to scope down a problem before solving it

• Understand our core values and apply them to your work
• Show curiosity, collaborative thinking, and intellectual honesty
• Worked on full-stack and AI technologies
• Are adaptable and keen to experiment
• Have excellent written and verbal communication skills
• You’re passionate about creating tools that simplify highly technical migration processes

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: 425547