AI Engineer

2 - 6 years

5 - 10 Lacs

Posted:Just now| Platform: Naukri logo

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Job Type

Full Time

Job Description

*Key Responsibilities**

We're looking for an AI Engineer who's excited about bringing AI workflows to life and making them work in real-world applications. You'll be the bridge between cutting-edge AI capabilities and practical, deployable solutions.

What You'll Be Working On

  • Rapid Prototyping

    : Create N8N workflows to validate ideas and test concepts quickly
  • AI Agent Development

    : Build AI agents and orchestrate interactions between multiple agents
  • Integration Work

    : Enable AI workflows within existing applications and systems
  • Cloud Infrastructure

    : Deploy and manage AI applications on cloud platforms
  • LLM Integration

    : Work with various Large Language Models and integrate them into production system

Required Experience

  • 3+ years

    of overall software engineering experience
  • 2+ years

    working with LLMs and AI technologies in a hands-on capacity
  • Strong foundation in software development and system architecture

Technical Skills

  • Experience with workflow automation tools (N8N or similar)
  • Proficiency in Python and/or JavaScript/TypeScript
  • Familiarity with multiple LLM providers (OpenAI, Anthropic, open-source models, etc.)
  • Cloud platform experience (AWS, GCP, or Azure)
  • Understanding of API design and integration
  • Knowledge of prompt engineering and AI agent frameworks

Practical Requirements

  • Ability to work independently and manage projects end-to-end
  • Strong problem-solving skills and experimental mindset

Nice to Have

  • Experience with LangChain, LlamaIndex, or similar AI frameworks
  • Background in MLOps or AI model deployment
  • Knowledge of vector databases and embedding systems
  • Experience with containerization (Docker, Kubernetes)
  • Understanding of AI safety and responsible AI practices
  • Previous work in a startup or fast-paced environment

What Makes This Role Exciting

  • Work at the intersection of AI innovation and practical application
  • Freedom to experiment with new tools and approaches
  • Direct impact on product development and user experience
  • Collaborate with a team that values quick iteration and learning

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