AI Engineer
Core
Build intelligent agents, multimodal experiences, personalization systems, and knowledge-grounded AI solutions for global brands using LLMs and deep learning.
Role type
Generative AI Engineer (IC)
Builds
Intelligent agents, multimodal systems, knowledge-grounded AI solutions, scalable APIs, and microservices
Domain
Generative AI, Deep Learning, Cloud Engineering, Knowledge Graphs
Deliverable
production ML models
Required skills
Python, SQL, PyTorch, TensorFlow, FastAPI, LangChain, LlamaIndex, AutoGen, AWS/Azure/GCP, Apache Spark, MongoDB, Linear algebra, Probability, Statistics
Preferred skills
RLHF/RLAIF, LoRA/QLoRA, Hybrid dense–sparse retrieval, NoSQL databases
Technologies
LangChain, LangGraph, LlamaIndex, AutoGen, FastAPI, Flask, Docker, AWS, Azure, GCP, Apache Spark, Hadoop, MongoDB, PyTorch, TensorFlow
Responsibilities
Build conversational and non-conversational, multimodal, and agentic AI applications; Design AI workflows incorporating reasoning, planning, tool-use, memory, grounding, and external system integrations; Develop Knowledge Graph (KG)-assisted AI systems; Transform models into scalable APIs and microservices; Deploy and monitor ML/AI systems in cloud platforms; Build and optimize transformer-based and multimodal models; Work cross-functionally with CX, engineering, and product stakeholders; Mentor junior engineers
Seniority
Mid-Senior, hands-on IC
