Senior AI Engineer, MongoDB
Code Generation
$118-231k
Salary based in the US and may vary in further locations
Developer data platform
Be an early applicant
Developer data platform
1001+ employees
Be an early applicant
$118-231k
Salary based in the US and may vary in further locations
1001+ employees
Company mission
To empower innovators to create, transform, and disrupt industries by unleashing the power of software and data.
Role
Who you are
- Degree in Computer Science, Engineering, related quantitative field or equivalent experience
- Demonstrated effectiveness in delivering new products in research or startup environments
- 5+ years of software engineering and/or product engineering experience
- 2+ 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
- You thrive in environments with significant uncertainty and enjoy defining problems as much as solving them
- You're passionate about generative AI technology and stay current with the latest developments
- You're comfortable taking initiative on new concepts without detailed direction
- You're excited about joining a growing team and helping shape its culture and direction
Desirable
- Understand our core values and apply them to your work
- Show curiosity, collaborative thinking, and intellectual honesty
- Are excited by full-stack and AI technologies
- Are adaptable and keen to experiment
- Have excellent written and verbal communication skills
What the job involves
- MongoDB is seeking a Senior AI Engineer with advanced software engineering skills to help develop and ship AI-powered features that accelerate customer workload migration to MongoDB
- You'll be building a robust AI agent, 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
- Drive AI projects end to end, working in a cross-functional setting
- Be a thought leader in the company in the latest developments in the AI field, including following industry trends and the latest papers
- End to end development of AI applications, including method and model selection, fine-tuning, prompt engineering, performance assessment, and collaboration with engineering teams to integrate AI into broader systems
- Collaborate with experienced engineers, products and design to continuously evolve and improve AI-powered products
- Build evaluation and monitoring frameworks for AI products in production
- Contribute to the development of our agent framework and capabilities
- Help establish best practices for AI development and deployment
Our take
MongoDB is an open-source, cross-platform, document-oriented database system. It stores data as JSON-like documents and is written in C++, Go, JavaScript and Python.
Essentially, the company develops tools and blueprints to help businesses and organisations modernise their legacy applications, migrating them to the MongoDB database and the MongoDB Atlas cloud database. With this initiative, MongoDB is particularly taking aim at Oracle customers with ageing applications running on the Oracle relational database system.
Since its release, MongoDB has become one of the most popularly used NoSQL database systems due to its ease of use and efficiency. It is also the fastest-growing database ecosystem, and boasts hundreds of millions of downloads. Recently, the company announced a partnership with Patronus AI, an automated evaluation and security platform, through which it will bring automated LLM evaluation and testing capabilities to enterprise customers.
Freddie
Company Specialist at Welcome to the Jungle
Insights
13% employee growth in 12 months
Company
Funding (last 2 of 8 rounds)
Jan 2015
$80m
SERIES G
Oct 2013
$150m
SERIES F
Total funding: $311.1m
Company benefits
- Rich health insurance coverage
- Virtual & on-site fitness classes
- Health screenings & telemedicine
- Access to transgender-inclusive health insurance coverage
- Global and internal mobility opportunities
- Equity & Employee Stock Purchase Program
- Pension & retirement programs
- Income Protection
- Flexible PTO is offered to every US employee & competitive time off policies for non-US employees
- Employee Assistance Program
- Mental health counseling
- Free meditation app access
- Fertility & adoption financial assistance
- Parental counseling for new parents
- 20 weeks of fully paid gender neutral parental leave & flexible work arrangements
- 4 weeks of emergency care leave
Company HQ
Theater District, New York, NY
Leadership
Dwight Merriman
(Co-Founder)Previously CTO and Co-founder at DoubleClick for 10 years, and Chairman at AlleyCorp for 15 years.
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