This role is ideal for a developer who thrives at the intersection of rapid AI-driven prototyping and enterprise-grade software engineering. You will help shape the future of how emerging AI coding tools and early-stage prototypes are transformed into secure, reliable, and scalable production systems — not replacing traditional development, but evolving it.

Job responsibilities include:

• Collaborate with AI/ML engineers, UX designers, and product owners to evolve prototype applications into robust operational systems.
• Analyze AI-generated code and identify necessary adjustments for performance, maintainability, scalability, and security.
• Resolve dependency conflicts, version mismatches, and integration challenges across front-end and back-end components.
• Guide the transition from prototype to production by:
• Reviewing and restructuring code to meet enterprise standards.
• Refactoring brittle logic into maintainable components.
• Implementing secure authentication, data validation, and logging.
• Maintain and enhance production applications, including bug fixes, library updates, and performance optimizations.
• Design and develop reusable frameworks, components, and APIs to accelerate future prototype-to-production efforts.
• Participate in architecture reviews and contribute to evolving AI-enabled application design patterns.
• Stay informed on emerging AI-assisted software development tools and assess their applicability in production environments.
• Document system designs, implementation details, and operational considerations to ensure maintainability.

Required Skills

• Proficiency in Python, Typescript, Java, and JavaScript
• Familiarity with rapid prototyping tools and the ability to transform low-code, no-code, or AI-generated code into secure, reliable, and maintainable production systems
• Familiarity with deploying cloud-based services in AWS, Azure or GCP
• Demonstrated ability to troubleshoot, refactor, and resolve dependency and compatibility issues across the stack
• Familiarity with containerization (Docker) and Kubernetes
• Familiarity with Elasticsearch/OpenSearch and graph databases such as Neo4j
• Understanding of modern architectural approaches, including microservices and event-driven systems.
• Strong communication skills for cross-functional collaboration with data scientists, designers, and AI/ML engineers.

Required Experience

• Bachelor’s degree
• 2–4 years of relevant experience, or a Master’s degree plus 1 year of relevant experience
• Experience with front-end frameworks such as React or Vue, and backend runtimes/frameworks such as Node.js, Spring Boot, Django, or Flask
• Experience identifying prototype limitations and scalability gaps, and guiding refactoring for performance, maintainability, and compliance
• Experience with Agile software development methodologies and collaboration tools (e.g., Jira, Confluence, Git)
• DevSecOps experience including CI/CD pipelines, automated testing, and code scanning tools
• Experience with relational databases (PostgreSQL) and ORMs (e.g., SQLAlchemy)

Preferred Qualifications:

• Experience with Generative AI-assisted development workflows and prompt engineering for code generation.
• Experience with vector databases, RAG, and agentic patterns
• Familiarity with secure coding practices in regulated environments.
• Experience with Replit, V0.dev, or similar.