Key Responsibilities & Skills AI-driven SDLC
AI Platform Architecture Design
Engineering Quality & Observability
Production AI System Development
Retrieval-Augmented Generation (RAG) Pipelines
LLM Evaluation Frameworks
Guardrails & AI Safety Standards
Agentic System Development
Generative AI Product Design
Technical Standards Enforcement
MLops
Modern Life Cycle Management
Guardrails
AI safety standards
Engineering Quality
Observability
Vector Search
Embedded Infrastructure
Technical Skills Claude Code / GitHub Copilot / Cursor
Python
LangChain / LlamaIndex
TensorFlow / PyTorch
Vector Search Engines
MLOps Platforms
CI/CD (GitHub Actions)
Cloud Infrastructure (AWS / Google Cloud Platform / Azure)
APIs / REST / gRPC
Event-Driven Architecture (Kafka / PubSub)
Observability Tools (Prometheus / Grafana)
Microsoft Office Suite / Google Workspace
EducationBachelor's Degree in Computer Science, Software Engineering, Electrical Engineering, Artificial Intelligence, Machine Learning. Preferred: Master's in Computer Science, Master's in Artificial Intelligence, PhD in Computer Science, PhD in Machine Learning, PhD in AI.
Industry Experience E-commerce
AI / GenAI Platforms
Large-Scale Distributed Systems
Cloud Services
SaaS
Enterprise Software