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Open nowPosted 8 hours ago

AI Engineer

Weekday AI

Where
Bengaluru, KA, India
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Your applicationOpen nowAI EngineerWeekday AI · Bengaluru, KA, India

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Weekday AI's own form.

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The clock on this job

Early applications get read.

12.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.2%1 day
  2. 4.5%3 days
  3. 12.8%7 days
  4. 20.6%14 days
  5. 35.6%30 days
  6. 58.4%60 days
This job: posted 8 hours ago

The posting

This role is for one of Weekday’s clients Salary range: Rs 500000 - Rs 2000000 (ie INR 5 - 20 LPA)

Min Experience: 5+ years Location: Bangalore JobType: full-time

We are looking for an experienced AI Engineer with strong software engineering expertise and hands-on experience building and deploying AI-powered applications in production environments. The ideal candidate should have proficiency in Python or Node.js, along with practical knowledge of agentic frameworks, multi-agent systems, AI workflow orchestration, and Retrieval-Augmented Generation (RAG) architectures.

The role involves developing scalable AI solutions, integrating intelligent agents with enterprise systems, and implementing advanced AI capabilities using modern frameworks and cloud-based AI platforms.

Requirements

Key Responsibilities

  • Design, develop, and deploy AI-powered applications in production environments using Python or Node.js.
  • Build and implement agentic AI solutions, multi-agent systems, and intelligent workflow orchestration.
  • Develop context engineering strategies, prompt orchestration, grounding techniques, and memory management capabilities.
  • Implement Model Context Protocol (MCP) and integrate AI tools with external systems and enterprise applications.
  • Design and develop RAG-based solutions using vector databases, embeddings, and semantic search.
  • Leverage Azure AI services, Azure AI Foundry, Azure OpenAI, or equivalent AI platforms to build and deploy intelligent applications.
  • Implement AI evaluation frameworks, observability mechanisms, and governance practices.
  • Ensure responsible AI implementation, reliability, scalability, and performance of AI-powered solutions.
  • Collaborate with engineering, product, and business teams to translate requirements into effective AI solutions.
  • Continuously evaluate emerging AI technologies, frameworks, and tools to improve development efficiency and solution capabilities.

Required Skills and Qualifications

  • 5+ years of professional software engineering experience.
  • Strong programming expertise in Python or Node.js.
  • Hands-on experience building, deploying, and maintaining AI-powered applications in production.
  • Experience with agentic frameworks, multi-agent architectures, and AI workflow orchestration.
  • Strong understanding of context engineering, prompt orchestration, grounding techniques, and memory management.
  • Practical experience implementing MCP (Model Context Protocol) and AI tool integration patterns.
  • Strong knowledge of RAG architectures, vector databases, embeddings, and semantic search.
  • Experience with Azure AI services, Azure AI Foundry, Azure OpenAI, or equivalent AI platforms.
  • Understanding of AI evaluation, observability, governance, and responsible AI practices.
  • Excellent communication and collaboration skills, with the ability to work across technical and business teams.

Must-Have Skills

  • Python
  • AI-Powered Application Development
  • Generative AI
  • Agentic AI
  • AI Workflow Orchestration

Good-to-Have Skills

  • Node.js
  • Multi-Agent Systems
  • MCP (Model Context Protocol)
  • Retrieval-Augmented Generation (RAG)
  • Vector Databases
  • Embeddings and Semantic Search
  • Azure AI Foundry
  • Azure OpenAI
  • AI Evaluation and Observability
  • Responsible AI and Governance
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    The review screen in CV Rocket: how each CV was read, round by round.

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    An application in CV Rocket: every answer filled in on the employer's form.

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