Back
Tier-1 brand, metro location, mid-level (3 years), popular software engineer title, and broad full-stack plus AI requirements.
Role requires specialized LLM orchestration and vector search expertise in addition to backend skills, reducing cross-industry transferability.
Explicit 3-year minimum plus mandatory backend, Python, LLM/RAG, cloud, container, and DB experience raises filter strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Build and maintain scalable, low-latency backend microservices and APIs using Python and frameworks like FastAPI, Django, or Flask.
Integrate modern AI capabilities including Large Language Models with features like Retrieval-Augmented Generation, prompt orchestration, and vector search in production systems.
Own small-to-medium features and collaborate with senior leadership to deliver reliable, AI-enabled software solutions and participate in production system monitoring and incident management.
Minimum 3 years of professional software engineering experience delivering production backend services with AI integrations.
Proficiency in Python (object-oriented and asynchronous) and experience building RESTful/gRPC APIs with FastAPI, Django, or Flask.
Experience with relational databases (PostgreSQL or MySQL), Redis, ORM tools (SQLAlchemy or Django ORM), and database migrations.
Experience with Git, automated CI/CD, Docker, Kubernetes, and at least one cloud platform (AWS, Azure, or GCP).
Experienced backend engineer with integrated AI/ML capabilities, specifically with Large Language Models and AI orchestration workflows.
Skilled in building scalable microservices with Python frameworks and managing data interactions across SQL and NoSQL databases.
Familiar with cloud-native deployments, container orchestration, performance profiling, incident triage, and agile collaboration across product and engineering teams.