Data and AI Fullstack Engineer
Core
Design, develop, and implement modular services for Data Mesh and Agentic AI use cases within a cloud-hosted foundational platform for industrial software applications.
Role type
Senior Full Stack Data and AI Engineer
Builds
Cloud-hosted foundational services for industrial use cases
Domain
Industrial software, Data Mesh, Agentic AI
Deliverable
production ML models | product features
Required skills
Python, Java, TypeScript, NodeJS, Microservice architecture, Cloud native PAAS, RAG, Agentic AI, Data Mesh architecture, Computer Science fundamentals, AWS services (EKS, SQS, Bedrock, Agent Core, SageMaker), Agent Frameworks (Strands, Langgraph, LangChain), Vector services, RAG pipelines, SDKs, Distributed systems, RDBMS, FastAPI, RESTful APIs, Containerization, Open Telemetry, Gitlab, NPM, Sonar Cube, Terraform, Helm Charts, Unit testing, Feature Integration Tests, Automation, SQL, NoSQL, System design, API design
Preferred skills
12+ years of programming experience, 4+ years in cloud native services
Technologies
Python, Java, TypeScript, NodeJS, AWS, EKS, SQS, Bedrock, Agent Core, SageMaker, Strands, Langgraph, LangChain, FastAPI, Terraform, Helm Charts, Gitlab, Sonar Cube, Postman, Newman, JMeter
Responsibilities
Design, develop, and implement modular services for Data Mesh and Agentic AI; ensure functional quality of released products; mentor software engineers through the development lifecycle; create and document software designs for complicated workflows; collaborate with test engineers to drive development strategy; set strategy for non-functional requirements like performance and scalability; drive automation across the stack.
Seniority
Senior, hands-on IC with mentorship responsibilities