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Staff Engineer, Code Generation

💼 Full-time💰 $137,000–$137,000🗓 2026-05-20 → 2026-07-31

Core

Building AI-powered code transformation tools to modernize legacy applications into microservices-based architectures on MongoDB.

Role type

Staff Engineer (AI/GenAI & Legacy Modernization)

Builds

Autonomous code transformation workflows, orchestration layers, and high-performance data systems for application modernization.

Domain

Software Engineering, AI/GenAI, Database Modernization

Deliverable

production ML models | product features

Required skills

Software development and operations (8+ years), Relational databases (Oracle, MySQL, SQL Server, PostgreSQL), Code analysis and refactoring, GenAI integration in large-scale systems, Complex software system design, AI model integration workflow design

Preferred skills

Strategic technical leadership, Cross-functional collaboration, Project management, Engineering mentorship

Technologies

MongoDB, LLMs, GenAI, Microservices

Responsibilities

Lead technical strategy for code gen tools, Design and optimize autonomous code transformation workflows, Define engineering best practices and standards, Collaborate on secure execution of code generation tasks

Seniority

Senior, hands-on IC with strategic leadership

Rewrite
## Responsibilities - Building AI-powered code transformation tools to modernize legacy applications into microservices-based architectures using MongoDB. - Leading the Code Gen team in designing, building, and optimizing code transformation workflows and tools. - Ensuring scalability, efficiency, and reliability of services through sophisticated orchestration layers, robust integration points, and high-performance data systems. - Collaborating with product managers, AI researchers, and engineers to translate complex requirements into robust technical solutions. - Driving architectural vision and technical strategy for code gen tools, leveraging GenAI to build reliable and scalable building blocks. - Defining and championing engineering best practices, patterns, and standards across multiple teams. - Collaborating with security and product teams to ensure secure execution of code generation and LLM-based tasks. ## Requirements - Extensive experience (8+ years) in software development and operations with a proven track record of delivering high performance, correctness, and architectural excellence in fast-paced environments. - Experience using Relational Databases such as Oracle, MySQL, Microsoft SQL Server, or PostgreSQL. - Experience with tools and methodologies for code analysis, refactoring, and automated testing. - Experience in designing and implementing complex software systems, collaborating effectively with engineers of all experience levels. - Practical knowledge of integrating GenAI into large-scale, complex systems, including a clear understanding of appropriate use cases for GenAI. - Excellent verbal and written technical communication skills and a strong desire to collaborate cross-functionally. - Experience in leading the design and development of complex workflows for AI model integration and output processing. - Excellent time and project management skills, including the ability to make realistic assessments of project cost and complexity. - Curiosity, a positive attitude, and a drive to continue learning, particularly in building AI skillsets. ## Nice to Have - None explicitly mentioned. ## Benefits - Being at the forefront of innovation and creativity in AI-powered code transformation. - Working on critical components that ensure the scalability, efficiency, and reliability of services. - Collaborating with cross-functional teams to drive execution strategies on committed deliverables. - Playing a crucial role in mentoring and recruiting new team members.
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