1–3 yrsDelhi NCROn-siteDirect career pageEst. 8–15 LPA
Posted on 8 Sept
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Job description
Structured overview of role & requirements
About This Role
- Own design, development, deployment, and monitoring of LLM-based AI features serving student-facing products and internal automation.
- Build and maintain retrieval-augmented generation (RAG) pipelines, agentic workflows using LangChain or equivalents, and multimodal integrations (speech and vision).
- Manage full AI feature stack: data engineering, model inference, fine-tuning, system design, and reliability for scalable production use.
Minimum Requirements
- 1–3 years of hands-on AI engineering experience, especially with LLM and RAG systems.
- Strong production-level Python skills including async, typing, and use of frameworks like FastAPI.
- Experience with vector databases (pgvector, Qdrant, Milvus), SQL (PostgreSQL/MySQL), and agent frameworks (LangChain, LangGraph).
- Experience deploying open-weight models with tools like vLLM, Transformers, or llama.cpp.
Ideal Candidate Profile
- Operates with a bias for shipping working prototypes rapidly and iterating based on measured evaluations.
- Skilled at bridging technical AI complexities with non-technical stakeholders in education domain.
- Experienced in end-to-end AI system design including prompt injection defenses, production observability, and cost/latency optimization.