AI engineer

Weekday AI (YC W21); Gurugram District; On-site; INR 800,000 - 1,500,000; Full time

Job summary

A leading AI technology firm is seeking a highly skilled AI Engineer with expertise in Generative AI and Large Language Models. This full-time position requires 6–9 years of professional experience and strong proficiency in frameworks like PyTorch and TensorFlow. You will design advanced AI solutions and mentor junior engineers. The role is situated in Gurugram, with a competitive salary ranging from INR 8,00,000 to INR 15,00,000 annually.

Qualifications

• 6–9 years of professional experience in AI/ML engineering.
• Hands-on experience with Hugging Face transformers.
• Solid understanding of machine learning algorithms.

Responsibilities

• Design, develop, and deploy advanced AI and ML models.
• Implement LLM pipelines using Hugging Face libraries.
• Mentor junior AI engineers within the team.

Skills

Generative AI expertise

Proficiency in Python

Experience with PyTorch

Experience with TensorFlow

Experience with Keras

Knowledge of NLP techniques

Problem-solving skills

Communication skills

Education

Bachelor’s or Master’s degree in Computer Science, AI, or related field

Tools

Hugging Face

Docker

Kubernetes

Langchain

Langgraph

Job description

About the Role

We are seeking a highly skilled and motivated AI Engineer with deep expertise in Generative AI (Gen AI) and Large Language Models (LLMs) to join our innovative AI team. The ideal candidate will have a strong background in AI/ML development, hands‑on experience with frameworks such as PyTorch, TensorFlow, or Keras, and a proven ability to design, implement, and deploy AI‑driven solutions. This role requires working on cutting‑edge AI applications, integrating state‑of‑the‑art models, and driving AI initiatives across multiple business domains.

Key Responsibilities

• Design, develop, and deploy advanced AI and ML models, with a strong focus on Generative AI and LLM applications.
• Build and fine‑tune state‑of‑the‑art models using frameworks such as PyTorch, TensorFlow, or Keras.
• Implement LLM pipelines leveraging Hugging Face libraries and tools, ensuring high performance and scalability.
• Develop and maintain AI‑driven solutions using Python, ensuring clean, efficient, and maintainable code.
• Work with Langchain, Langgraph, and other AI orchestration frameworks to create intelligent workflows and automated solutions.
• Deploy AI models and applications in containerized environments using Docker and orchestrate deployments using Kubernetes.
• Collaborate closely with cross‑functional teams including data engineers, software engineers, and product managers to translate AI research into production‑grade solutions.
• Conduct performance evaluation, benchmarking, and optimization of AI models for various tasks such as text generation, summarization, question‑answering, and recommendation systems.
• Stay updated with the latest AI research, trends, and best practices, proactively suggesting improvements and new approaches to enhance AI capabilities.
• Mentor junior AI engineers and share knowledge of emerging AI technologies and tools within the team.

Required Skills & Qualifications

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• 6–9 years of professional experience in AI/ML engineering, with a focus on Generative AI and LLMs.
• Strong proficiency in Python programming and AI/ML frameworks such as PyTorch, TensorFlow, or Keras.
• Hands‑on experience with Hugging Face transformers, Langchain, and Langgraph.
• Solid understanding of machine learning algorithms, neural networks, and natural language processing (NLP) techniques.
• Experience in building and deploying AI models in production using Docker and Kubernetes.
• Familiarity with model evaluation, fine‑tuning, and optimization techniques for large‑scale AI systems.
• Excellent problem‑solving skills and ability to work in a fast‑paced, collaborative environment.
• Strong communication skills with the ability to explain complex AI concepts to non‑technical stakeholders.

Details

Salary range: Rs 800,000 ­– 1,500,000 (INR 8–15 LPA)
Location: NOIDA, Bengaluru, NCR, Delhi, Gurugram
Employment type: Full‑time
Seniority level: Mid‑Senior level
Job Function: Other
Industry: IT Services and IT Consulting
Minimum experience: 6 years