Forward Deployed Engineer, MongoDB

• Have 5+ years of experience in software development, customer engineering, solution architecture, or similar roles, including at least 2 years dedicated to designing and implementing AI solutions
• Demonstrate a strong customer-centric approach and excellent communication skills, capable of clearly articulating complex technical solutions to diverse audiences
• Proficiency in building modern, full-stack applications with back end development in Python, Node.js, or Java, and front end development with frameworks like React, Angular or Next.js
• Understand and have implemented AI solutions like Retrieval-Augmented Generation (RAG) systems, and LLMs for real-world, real-time applications
• Have hands-on experience deploying scalable AI applications on cloud environments (AWS, Azure, GCP)
• Demonstrate deep understanding of modern development practices, including CI/CD, test-driven development, and microservices
• Demonstrable experience in rapidly evolving, high-uncertainty projects, turning ambiguous problems into clear, measurable solutions
• Are willing to travel up to 30% to engage directly with strategic customers

Desirable

• To support this growth, we're building a specialized AI engineering practice that works hand-in-hand with our most strategic customers, helping them rapidly prototype, refine, and deploy scalable AI systems that leverage MongoDB Atlas
• We're looking for customer-oriented AI engineers to collaboratively build impactful, iterative solutions leveraging MongoDB’s data platform and cutting-edge generative AI technologies
• Embed deeply with strategic customers, gaining a thorough understanding of their business strategy, challenges and technical requirements within the context of AI
• Architect, design, and implement end-to-end AI solutions using an iterative, experiment-driven approach
• Scope projects, define deliverables, and create actionable plans for both rapid prototypes and enterprise-scale deployments
• Hands-on develop scalable, secure, and performant AI solutions, working side-by-side with customer engineering teams
• Prototype and iterate solutions leveraging MongoDB Atlas, cloud technologies, LLMs, and generative AI technologies
• Provide technical leadership to ensure architectural alignment, quality, and successful customer outcomes
• Actively engage with emerging AI technologies to stay ahead of trends, incorporating new insights into customer solutions
• Collaborate closely with our Sales teams, Solution Architects, Product, and wider Professional Services to deliver high-impact, scalable solutions that drive measurable business outcomes
• Contribute to internal knowledge sharing, creating resources, best practices, and reusable assets that scale the broader AI capability across MongoDB

• 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

Total funding: $311.1m

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.