Core4ce
Full Stack Software Engineer – AI-Enabled Application Development & Operationalization
906-383
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.
- 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.
- 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.
remote, United States
Full-Time/Regular
All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, age, marital status, pregnancy, genetic information, or other legally protected status.
Equal employment opportunity, including veterans and individuals with disabilities.
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