Senior Forward Deployment Engineer, MongoDB
AI Engineering
Modern data platform
Be an early applicant
Modern data platform
1001+ employees
Be an early applicant
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
- 8+ years of experience in software engineering, with a proven track record of delivering impactful technical solutions for enterprise clients, preferably using Java, SQL, and Python
- An engineering degree in Computer Science, Machine Learning, Mathematics, Network Engineering, or Electrical Engineering
- In-depth knowledge of AI/ML concepts, tools, and open-source development; experience designing and implementing AI-powered applications is highly preferred
- Proficient in test-driven development methodologies and familiar with monolithic vs. microservices architectures, including database migration and refactoring
- Strong problem-solving skills and a passion for tackling complex, “un-Googleable” challenges while driving innovation through software development
- Academic research experience in parsing, AI/ML, or programming languages
What the job involves
- As a Senior Forward Deployed AI Engineer, 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
- 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
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 organizations modernize 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 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.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 144 more jobs at MongoDB