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Artificial Intelligence Architect

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Hybrid

Artificial Intelligence Architect

The Glove

Artificial Intelligence Architect

Skills

Google Cloud PlatformSQL QueriesMongoDBDockerPythonKerasPyTorchTensorFlowPostgreSQLMySQLGrafanaAIAWSPrometheusKubernetesJavascriptAzure

4 days ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Hybrid

Published on:

16 October 2026

What they need


Experience Required

9-14

AI Architect Bangalore

Job Summary

We are seeking highly skilled candidates to join our team as AI Engineer (Senior Associate). The role involves designing ML pipelines, APIs for large-scale model inferencing, and working on cutting-edge LLM serving and optimization.

Responsibilities:

Design RAG/LLM pipelines for experiment management, model management, feature management, and model retraining.

Design APIs for model inferencing at scale.

Proven expertise with MLflow, SageMaker, Vertex AI, and Azure AI.

LLM Serving & GPU Architecture: Deep knowledge of GPU architectures, distributed training, and serving of large language models.

Model Fine-Tuning & Optimization: Improve latencies, accuracies, and reduce resource requirements for fine-tuning LLM/LVM models.

DevOps & LLMOps Proficiency: Expertise in Kubernetes, Docker, container orchestration, and LLM orchestration frameworks (Flowise, Langflow, Langgraph).

Mandatory Skill Sets

Gen AI, LLM, Hugging Face

Python, PyTorch/TensorFlow/Keras

Langchain, Langgraph

Docker, Kubernetes

Additional Skills

Databases/Datawarehouse: DynamoDB, Cosmos, MongoDB, RDS, MySQL, PostgreSQL, Aurora, Spanner, BigQuery

Cloud Knowledge: AWS, Azure, GCP

DevOps Tools: FluentD, Kibana, Grafana, Prometheus

Proficient in Python, SQL, JavaScript

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