Forward Deployed AI Engineer

Posted 3 Days Ago
New York City, NY
Hybrid
78K-200K Annually
Junior
Big Data • Cloud • Software • Database
MongoDB empowers innovators to create, transform, and disrupt industries by unleashing the power of software and data.
The Role
As a Forward Deployed AI Engineer, you'll work with product managers and engineers to create and refine tools for generative AI, focusing on user requirements and experience.
Summary Generated by Built In

The worldwide data management software market is massive (IDC forecasts it to be 136 billion by 2027!). At MongoDB, we are transforming industries and empowering developers to build amazing apps that people use every day. We are the leading developer data platform and the first database provider to IPO in over 20 years. Join our team and be at the forefront of innovation and creativity.

The Field Engineering organization is a fast-paced, entrepreneurial team whose focus is bridging the gap between MongoDB official database products and the reality of our services organizations who are “boots on the ground” and often rely upon quickly created tools to assist customers with modernizing their application code and architectures. The sort of projects we work on are varied, but include a combination of research, proof of concept, and product development. Since we focus on GenAI, this includes working with LLMs, parsing tools, agentic frameworks, etc. Our tools are immediately usable, experimented on, and then refined by a broad engineering team worldwide.

We seek motivated and talented individuals to help us build the next-generation database platform. As a Forward Deployed AI Engineer you will work directly with MongoDB’s product managers, user experience designers, and software engineers. You will be fully integrated into the team, helping to understand and analyze users’ needs and pain points, and advocating on their behalf. You will mine various data sources, and discuss technical constraints with engineers and designers to create new product requirements and experiences. You will also refine and communicate the product strategy to relevant stakeholders.

What we are looking for in you

  • Technical skills: You should be comfortable diving into design and code, particularly Python. You must be able to learn from existing examples, explore APIs, triage bugs, and speak on any of the technical aspects of the tools in your portfolio.
  • Communication skills, both verbal and written.
  • Curiosity and creativity. You have a desire to learn and experiment; you are a self-starter and thrive in ambiguity. Hacker mindset.
  • 1-3 years of experience in software engineering.
  • Must be authorized to work in the United States. Company sponsorship may be available for eligible candidates applying for certain roles.
  • Strong desire and experience working with generative AI tools: Devin, Copilot, Lovable, Bolt.new, Claude Code, Prefect, Langflow–ideally all of the above.
  • Speed. GenerativeAI can do some tasks more than 800x faster than a human, and working with them requires quick context switching, a sharp eye, and an enthusiasm for iteration.

What you'll find at MongoDB 

  • Membership within our Employee Resource Groups where you can gain mentorship and learning opportunities from employees with a shared background or common identity.
  • A workplace culture where you are encouraged to bring your whole self to work - we believe that Embracing the Power of Differences is the best way to broaden our own perspectives and foster innovation.
  • Solving problems with context in mind, balancing the needs of the team with the desire to get to the bottom of issues.
  • Working closely with cross functional teams to create end user features that deliver quality software to our clients.
  • A fun community of fellow New Grads to attend social events, hangouts, and games nights!

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 Early Talent Recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type 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: 425243

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.

MongoDB’s base salary range for this role in the U.S. is:

$78,000$200,000 USD

Top Skills

APIs
Generative Ai Tools
Python

What the Team is Saying

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The Company
HQ: New York, NY
5,550 Employees
Hybrid Workplace
Year Founded: 2008

What We Do

The database market is big. How big? Well, according to IDC, it’ll reach $153 billion by 2027. And MongoDB is at the forefront of that innovation with thousands of customers across the globe. We empower developers and businesses to build and deploy the applications they want, wherever they want.

Why Work With Us

We are ambitious. We are passionate about creativity. And we believe the best paths are the ones we have yet to forge.

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MongoDB Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

MongoDB provides multiple working model options for our employees, including the flexibility to work from home to opportunities for collaboration and social interaction in a MongoDB office.

Typical time on-site: Flexible
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