





Known gaming brand, metro location, mid-level role, but niche LLM and art-pipeline skills limit applicant pool.
Strong ML/LLM and game art-pipeline specialization reduces cross-industry transferability significantly.
Explicit 5+ years overall and 1.5+ years production LLM experience plus mandatory LLM/vector DB/tooling requirements.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, build, and deploy custom AI-driven tools and internal automation workflows impacting engineering, creative, and QA teams.
Partner with cross-functional leads to eliminate operational bottlenecks by engineering bespoke AI solutions including asset generation and workflow automation.
Develop, test, and maintain AI applications, bots, and pipelines integrating LLM APIs and orchestration frameworks with software systems like Jira, GitHub, CMS, Slack, and Teams.
5+ years in software engineering with at least 1.5+ years building production-grade AI/LLM applications.
Bachelor's degree in Computer Science or equivalent (B.Tech/BE/MCA).
Proficiency in Python or TypeScript/Node.js and strong experience with LLM APIs (OpenAI, Claude), orchestration frameworks (LangChain, LlamaIndex, LangGraph), and Vector Databases.
Authorization to work in the job location without current or future visa sponsorship; no travel expected.
Experienced in developing AI solutions tailored for art and animation pipelines, preferably in gaming or creative domain.
Ability to translate user pain points from diverse teams (Dev, Creative, QA) into technical requirements and deliver intuitive automation tools.
Comfortable with rapid AI ecosystem changes, evaluating and selecting relevant frameworks and maintaining high-quality, secure AI systems.