Artificial Intelligence Engineer

HiroJet; Gurugram District; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

An innovative AI-driven company in Gurugram seeks an AI R&D Engineer to design and optimize large language models for conversational AI solutions. The ideal candidate has at least 2 years of experience in AI/ML, expertise in NLP technologies, and is proficient in ML frameworks like PyTorch. You will work closely with product teams to integrate AI models into applications and mentor junior engineers. Interested candidates should share their CV.

Qualifications

• At least 2 years of experience in AI/ML R&D.
• Proficient in fine-tuning large language models and prompt engineering.
• Ability to communicate complex ideas clearly.

Responsibilities

• Design, train, fine-tune, and evaluate large language models for conversational AI.
• Collaborate with cross-functional teams to integrate AI models.
• Monitor model performance and iterate based on feedback.

Skills

NLP technologies

Large language models

ML frameworks (PyTorch, TensorFlow)

Cloud platforms (AWS, GCP, Azure)

Containerization (Docker)

CI/CD pipelines

Job description

Overview

We are an innovative AI-driven company with a focus on revolutionizing Real Estate with AI. We are looking for a detail-oriented and strategic AI R&D Engineer with expertise in large language models, startup dynamics, and building production-grade AI products. You will design, implement, and optimize LLM-driven systems that power our next-generation conversational AI solutions.

Responsibilities

• Design, train, fine-tune, and evaluate large language models for diverse conversational AI use cases.
• Stay updated on the latest advancements in LLMs, NLP, and generative AI.
• Propose and implement innovative methods, tools, and frameworks to enhance model performance, efficiency, and reliability.
• Collaborate with product managers, software engineers, and UX designers to seamlessly integrate AI models into user-facing applications.
• Develop APIs, tools, and infrastructure for deploying models in production environments.
• Establish robust evaluation metrics, benchmarks, and automated testing frameworks for conversational systems.
• Continuously monitor model performance and iterate based on user feedback and data-driven insights.
• Guide and mentor junior engineers in applied AI research, engineering best practices, and MLOps.
• Foster a culture of experimentation, excellence, and continuous learning.

Qualifications & Experience

• Core Requirements:
• At least 2 years of experience in AI/ML R&D, with a proven track record in working with state-of-the-art NLP and LLM technologies (e.g., GPT, LLaMA, Falcon, PaLM).
• Prior experience in fast-paced, high-growth environments with iterative development and evolving priorities.
• Proficiency with ML frameworks like PyTorch or TensorFlow.
• Experience with cloud platforms (AWS, GCP, Azure), containerization (Docker), and CI/CD pipelines.
• Expertise in fine-tuning LLMs, prompt engineering, and building scalable data pipelines.
• Ability to effectively communicate complex ideas to technical and non-technical stakeholders while thriving in cross-functional teams.

If interested, please share your CV at [e-mail].