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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.
Organizations face significant challenges with legacy applications including poor scalability, long development cycles, and cloud migration difficulties. Our Application Modernization team is creating solutions and AI-powered tools like the Relational Migrator to guide customers in transitioning from relational databases to our document-based model.
You'll join a team that combines startup agility with enterprise resources, giving you creative freedom and substantial backing. This role requires comfort with breaking down complex problems and working at the forefront of generative AI technologies.
We are looking to speak to candidates who are based in New York City, NY for our hybrid working model.
What You’ll Do- 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, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Req ID:1263131297
MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.
