Back
Remote mid-level AI engineer role with popular LLM focus and broad applicant pool.
Highly domain-specific AI/ML production skills reduce cross-industry transferability.
Explicit 3–5 years and mandatory production LLM, Python, microservices, and queue skills make filters strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Maintain and optimize AI-driven LLM/VLM services for content generation, compliance scoring, and campaign testing in production.
Manage and scale microservices (Flask/FastAPI) and asynchronous queues (Dramatiq) to ensure high uptime, low latency, and stable AI pipeline operations.
Build, monitor, and improve feedback loops and prompt engineering strategies for continuous AI model evaluation and performance enhancement.
3–5 years experience as AI Engineer or Python Backend Engineer with production system exposure.
Proficient in Python programming with production-grade code experience.
Experience with Flask, FastAPI (optional), Dramatiq or similar queue systems, Uvicorn/Gunicorn hosting for async APIs.
Hands-on with LLMs/VLMs, prompt engineering, maintaining AI pipelines, REST API design, Docker deployments, and CI/CD.
Experienced in maintaining and scaling AI-first SaaS platforms integrating LLM/VLM services.
Operates effectively within microservice architectures supporting secure, high-performance AI APIs.
Skilled in designing structured feedback loops and prompt engineering to optimize AI model outputs in production environments.