Artificial Intelligence Engineer

Role - Artificial Intelligence Engineer

Location - Gurugram Haryana (WFO)

About Company-

This is an innovative AI-driven company with a focus on revolutionizing Real Estate with AI. As we expand our operations and scale new heights, we are looking for a detail-oriented and strategic Finance Manager to join our dynamic team and manage the financial health of the organization.

Role Overview:

We are seeking a highly skilled AI R&D Engineer with expertise in large language models, startup dynamics, and building production-grade AI products. You will play a pivotal role in designing, implementing, and optimizing LLM-driven systems that power our next-generation conversational AI solutions.

Key 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.
• ? Strong programming skills in Python.
• ? 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.

Bonus Points:

• ? Contributions to open-source AI/ML/NLP projects.
• ? Experience with vector databases, retrieval-augmented generation (RAG), or multimodal models.
• ? Familiarity with MLOps tools (e.g., MLflow, Kubeflow) and distributed training techniques.
• If interested please share your resume at [HIDDEN TEXT]