Lead Artificial Intelligence Engineer

5 years

0 Lacs

Posted:20 hours ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

About the Company


About the Role


Responsibilities


  • Architect and implement advanced AI solutions leveraging LLMs (and other emerging architectures), embeddings, and agentic frameworks (e.g., OpenAI Agent SDK, AutoGPT, LangChain, CrewAI).
  • Develop and refine Agentic AI systems focusing on planning, memory, tool utilization, and dynamic task critic execution.
  • Engineer and optimize prompt engineering pipelines to achieve superior accuracy and low latency across diverse applications.
  • Fine-tune and deploy specialized LLMs and AI copilots to transform engineering and business operations.
  • Collaborate with cross-functional teams to deliver production-grade solutions that create tangible value.
  • Stay ahead of the curve by integrating emerging GenAI research and state-of-the-art capabilities into practical, real-world systems.
  • Lead projects and mentor junior engineers, contributing to a culture of innovation and growth.

Qualifications


  • Experience

    : 5+ years of hands-on ML/AI/Deep Learning experience, with a strong portfolio of real-world application development.
  • Technical Proficiency

    : Advanced Python skills and extensive experience with leading AI tools and libraries (OpenAI, Hugging Face, LangChain, PyTorch, TensorFlow).
  • Core Knowledge

    : Deep understanding of Large Language Models (LLMs), embeddings, Retrieval Augmented Generation (RAG), and vector databases (e.g., FAISS, Weaviate).
  • Prompt Engineering Mastery

    : Proven expertise in designing and implementing effective, reusable prompts for complex reasoning, classification, generation, and tool integration tasks across a wide variety of models including open-source solutions.
  • Agentic AI Acumen

    : Prior experience with autonomous AI agents or multi-agent orchestration is a significant advantage.
  • Mindset

    : A startup-ready attitude - agile, intellectually curious, and hands-on, thriving in fast-paced, iterative environments.


Work Hours and Benefits:


Mon – Fri

Paid time off and holidays

Flexible working hours

Opportunity to work in a dynamic and collaborative environment

Professional development and training opportunities

Health Insurance

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