AI Engineers

Posted by:

CUBE27 IT PRIVATE LIMITED

Location:
  • Pune, Maharashtra (3)

    1-2 Yrs

    325,000 to 450,000 / Annually

    Posted: days ago

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    Job Highlights

    Role

    Industry

    • Information Technology and Services

      Job Type

      Full-time

      Openings

      Applicants

      Apply Before

      Closing soon

      Job Overview

      About Us:

      We are building next-generation AI-powered commerce infrastructure and intelligent platforms that help businesses become AI-agent ready. Our products combine LLMs, data pipelines, automation systems, agentic workflows, and scalable cloud infrastructure to solve real-world commerce and enterprise problems.

      Key Responsibilities:

      • Design, develop, and deploy scalable AI/ML systems, intelligent automation pipelines, and production-grade AI services.
      • Architect and optimize LLM-powered applications, including Retrieval-Augmented Generation (RAG) systems, AI agents, multi-agent workflows, and orchestration frameworks.
      • Develop robust backend services and APIs using Python, Node.js, and TypeScript to support AI-driven applications.
      • Integrate and manage enterprise AI models and platforms such as OpenAI, Claude, Grok, Llama, and vector database technologies.
      • Build and maintain data pipelines, embedding workflows, semantic search capabilities, recommendation engines, and knowledge retrieval systems.
      • Collaborate cross-functionally with product, engineering, and design teams to deliver scalable AI-first products and features.
      • Design, evaluate, and optimize prompts, model outputs, guardrails, and inference workflows to improve system accuracy, reliability, and performance.
      • Implement scalable cloud-native architectures leveraging distributed systems, message queues, databases, caching layers, and containerized infrastructure.
      • Contribute to system architecture, technical design reviews, code quality standards, testing strategies, and engineering documentation.
      • Monitor advancements in AI/ML technologies, emerging protocols, open-source ecosystems, and industry best practices to drive continuous innovation.

      Required Skills:

      1 to 2 years of software engineering experience with strong backend development

      expertise.

      Hands-on experience with AI/ML systems and LLM-based applications.

      Strong proficiency in:

      • Python and/or Node.js
      • TypeScript/JavaScript
      • REST APIs & GraphQL
      • PostgreSQL / MongoDB / Redis

      Experience with:

      • OpenAI, Claude, Llama, or similar LLMs
      • RAG pipelines and vector databases
      • LangChain, LangGraph, CrewAI, or agent frameworks
      • Cloud platforms (AWS/GCP/Azure)
      • Docker & CI/CD workflows
      • Understanding of scalable system design and distributed architectures.
      • Strong problem-solving and debugging skills.

      Good to Have:

      • Experience with Shopify ecosystem or eCommerce platforms.
      • Experience building AI agents or autonomous workflows.
      • Knowledge of Playwright, scraping, or crawler systems.
      • Exposure to NLP, embeddings, and semantic search.
      • Familiarity with Kubernetes and microservices architecture.

      What We Offer:

      • Opportunity to work on cutting-edge AI products.
      • High ownership and fast-paced environment.
      • Flexible work culture.
      • Competitive salary and growth opportunities.
      • Exposure to real-world AI product deployment at scale.

      Preferred Qualifications

      • Candidates who have taken TCS iON NPT - Aftificial Intelligence or Machine Learning will be given preference.

      Key Skills

      1/5 of your skills match for this job

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      Role-Specific

      Qualification

      • Any Graduate

      Benefits

      Eligibility

      About Company

      CUBE27 IT PRIVATE LIMITED

      Cube27 is not just a development company. We are a Global Capability Center (GCC) partner that bridges the gap between operational stability and high-end technical innovation. We don’t sell “hours”—we sell outcomes and extended teams. Our clients don’t see us as vendors; they see us as an extension of their own organization, aligned with their culture, values, and business objectives.


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      Journey

      1

      Application Date

      2026-05-08 00:00:00.0

      2026-07-07 00:00:00.0

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