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Artificial Intelligence Engineer

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Onsite

Artificial Intelligence Engineer

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Artificial Intelligence Engineer

Skills

DockerFlaskMicroservicesAIAWSKubernetesFastAPIAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

31 August 2026

What they need


Please NOTE-

Interview will be for only Face 2 Face at Bangalore Location on coming Saturday ( 4th sep 2026).

And no virtual interview

Candidate who is willing to come for face 2 face please apply.

Interested Candidate share resume on

[email protected]

Job TitleSenior Python & Generative AI Cloud EngineerRole OverviewWe are looking for an experienced Python Engineer with deep expertise in Generative AI, Large Language Models (LLMs), and cloud infrastructure. You will design, build, and scale production-grade GenAI applications, autonomous AI agents, and Retrieval-Augmented Generation (RAG) pipelines integrated with major cloud platforms (AWS, Azure, or GCP).

Key Responsibilities

  • GenAI & LLM Integration: Develop and maintain applications leveraging OpenAI, Claude, Llama, or open-source LLMs via APIs and custom orchestration.
  • RAG & Vector Search: Build advanced RAG architectures using vector databases like Pinecone, FAISS, ChromaDB, or Weaviate.
  • Agentic AI Workflows: Design multi-agent systems and cognitive workflows using frameworks like LangChain, LangGraph, AutoGen, or Semantic Kernel.
  • Backend & API Development: Build robust, scalable RESTful APIs and microservices using FastAPI or Flask.
  • Cloud Deployment & MLOps: Deploy, monitor, and scale AI workloads using cloud-native services (AWS SageMaker, Azure AI, Google Vertex AI) packaged with Docker and orchestrated via Kubernetes.
  • Performance Optimization: Optimize token consumption, model inference latency, and memory management in production.

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