AI Engineer

2 weeks ago

Gurgaon, Haryana, India Evnek Full time ₹ 15,00,000 - ₹ 25,00,000 per year

Job Title:
AI Engineer

Experience:
2+ Years

Location:
Gurgaon

Notice Period:
Immediate Joiner Only

Job Summary
We are looking for a motivated and skilled
AI Engineer
with 2–3 years of hands-on experience in developing and applying AI/ML solutions to real-world business problems. The ideal candidate will have strong expertise in machine learning, deep learning, and generative AI technologies, along with practical experience in building prototypes, PoCs, and production-ready AI systems.

Key Responsibilities

  • Develop and deploy AI-driven solutions for automation, workflow optimization, and intelligent decision-making.
  • Build and implement generative AI tools leveraging Large Language Models (LLMs).
  • Design and implement Retrieval-Augmented Generation (RAG) systems and Graph RAG architectures.
  • Create and optimize agents using LangChain and related frameworks.
  • Develop embedding-based search solutions with vector databases (e.g., Chroma, Weaviate).
  • Prototype AI applications using open-source LLMs and APIs (e.g., OpenAI, Anthropic, Cohere, Gemini, Copilot).
  • Work on intelligent document processing, smart form filling, and rule-based automation.
  • Collaborate on chatbot development and agent-assist tools.
  • Contribute to internal tools automation, including co-pilots for operations.
  • Integrate simple user interfaces using Git and lightweight front-end frameworks for AI tools.

Required Skills & Experience

  • 2+ years of practical experience in AI/ML solution development.
  • Proficiency in Python, R, or Java with strong programming fundamentals.
  • Expertise in machine learning & deep learning frameworks such as TensorFlow and PyTorch.
  • Hands-on knowledge of NLP techniques and AI model integration.
  • Strong understanding of fundamental algorithms, object-oriented and functional design principles.
  • Skilled in data preprocessing, feature engineering, and model evaluation techniques.
  • Experience with version control systems (Git) for collaboration and code management.
  • Exposure to generative AI, LLMs, and open-source AI ecosystems.

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