IN_Senior Associate_GenAI Integration Engineer_GCC_Advisroy_Bangalore
Core
Design, develop, test, and maintain robust backend applications and Generative AI solutions using LLMs, multi-agent systems, and RAG pipelines to optimize client operational efficiency.
Role type
Senior IC GenAI Integration Engineer
Builds
Production GenAI applications, scalable backend APIs, and multi-agent systems for enterprise clients
Domain
Generative AI, Backend Engineering, Cloud Infrastructure
Deliverable
production ML models | product features
Required skills
Python 3.x, PyTorch, TensorFlow, Scikit-learn, XGBoost, LangChain, LangGraph, CrewAI, AutoGen, Pinecone, Weaviate, Chroma, pgvector, Docker, Kubernetes, AWS, GCP, Azure, PySpark, Git, RESTful APIs, CI/CD pipelines
Preferred skills
Fine-tuning (LoRA/QLoRA/PEFT), asynchronous programming, microservices architecture, distributed systems, pytest
Technologies
Flask, Django, FastAPI, Kafka, eventhub, Cosmos DB, LangGraph, LangChain, CrewAI, AutoGen, Pinecone, Weaviate, Chroma, pgvector, Docker, Kubernetes, AWS, GCP, Azure, PySpark
Responsibilities
Design and deploy Generative AI applications using LLMs for enterprise use cases; Build and orchestrate multi-agent systems with function calling and tool use; Implement Retrieval-Augmented Generation (RAG) and hybrid retrieval pipelines; Integrate third-party APIs and services; Optimize applications for maximum speed and scalability; Develop and maintain unit and integration tests
Seniority
Senior, hands-on IC