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Remote role and mid-level seniority increase candidate density despite specialized LLM and infra requirements.
Highly specialized LLM and AI SDLC skills create strong domain bias across industries.
Explicit 6–10 years plus mandatory LLM, RAG, vector DB, Docker, Kubernetes, Terraform and mobile skills.
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Design and implement AI-driven software development lifecycle (SDLC) accelerators including code generation, review automation, and smart testing.
Develop modular context-aware tooling (MCP-based extensions) and integrate LLMs into CI/CD workflows to enhance developer productivity.
Collaborate closely with cross-functional teams to embed AI capabilities across SDLC and improve critical e-commerce processes such as cart, checkout, fraud prevention, and payment workflows used by over 11 million customers.
6 to 10 years of professional experience in software development or related roles.
Strong programming experience with native mobile app development for iOS and Android.
Hands-on experience with Large Language Model (LLM) integration and knowledge of Retrieval-Augmented Generation (RAG), embeddings, and vector databases.
Experience working with Docker, Kubernetes, Terraform, and intelligent test automation tools.
Experienced in AI-augmented architecture patterns and modular context processing (MCP) engineering to build advanced developer tooling.
Comfortable applying context engineering principles to optimize structured AI reasoning within software development processes.
Has product thinking oriented towards GenAI adoption and cross-team collaboration to implement AI-enhanced workflows in a large-scale e-commerce environment.