AI Fullstack Engineer
Core
Lead end-to-end technical delivery of full-stack applications and AI-driven solutions, translating business requirements into scalable systems.
Role type
Senior AI Fullstack Engineer
Builds
Cloud-native and serverless applications, AI-driven solutions (LLM integrations, RAG frameworks), and full-stack web applications.
Domain
Enterprise software development, Cloud infrastructure, Generative AI
Deliverable
production ML models
Required skills
Node.js, NestJS, React, AWS (Lambda, API Gateway, S3, EventBridge, RDS), Docker, CI/CD, RESTful APIs, Microservices, Oracle PL/SQL, LLM APIs, RAG architectures, Generative AI tools (AWS Bedrock, OpenAI, LangChain, LlamaIndex)
Preferred skills
TypeORM, Prisma, GraphQL, Redis, WebSockets, Jest, Cypress, OpenAPI/Swagger, Vector databases, AWS Certified Developer Associate, AWS Certified Solutions Architect Associate
Technologies
React, Node.js, NestJS, AWS, Docker, Git, Oracle PL/SQL, LangChain, LlamaIndex, AWS Bedrock, OpenAI
Responsibilities
Design and develop full-stack applications using React, Node.js/NestJS, and relational databases; Build and support cloud-native and serverless applications on AWS; Develop AI-driven solutions including LLM integrations and RAG frameworks; Collaborate with Business Analysts and cross-functional teams to define requirements; Ensure applications meet security, quality, performance, and data governance standards; Contribute to technical excellence through code reviews, documentation, and mentoring.
Seniority
Senior, hands-on IC
