Hiring Generative AI Engineer in Bengaluru

Crescendo Global, a leading global executive search and recruitment firm, is expanding its AI innovation lab in Bengaluru. We are seeking a Generative AI Engineer to design, build, and deploy cutting-edge generative models that transform talent acquisition and workforce intelligence.

In this role, you will

• Architect and fine-tune large language models (LLMs) for domain-specific recruitment tasks such as candidate matching, resume parsing, and interview question generation.
• Develop and maintain scalable generative AI pipelines using Python, PyTorch, and Hugging Face Transformers, ensuring low-latency inference in production.
• Implement RAG (Retrieval-Augmented Generation) systems leveraging vector databases like Pinecone or Weaviate to ground model outputs in proprietary talent data.
• Collaborate with product managers and data engineers to integrate generative features into our SaaS platform, adhering to MLOps best practices with Docker, Kubernetes, and CI/CD on AWS.
• Conduct rigorous model evaluation, including automated benchmarking and human-in-the-loop feedback loops, to improve accuracy and reduce hallucination rates.
• Optimize model serving costs through quantization, distillation, and efficient GPU utilization on cloud infrastructure.
• Stay current with advances in generative AI (e.g., diffusion models, multimodal LLMs) and prototype innovative applications for HR tech.
• Document technical designs, contribute to internal knowledge bases, and mentor junior ML engineers.

Our Bengaluru office operates in a hybrid model, fostering a culture of experimentation and continuous learning. You will work alongside a diverse team of data scientists, engineers, and domain experts, with direct access to leadership and a clear path to principal engineer or AI architect roles.

We require a Masters degree in Computer Science, Machine Learning, or equivalent, with 5+ years of industry experience in building and deploying ML models, including at least 2 years focused on generative AI. Proficiency in Python, deep learning frameworks, and cloud platforms (AWS preferred) is essential. Experience with HR technology or talent data is a strong plus.

The hiring process includes an initial screening, a technical take-home challenge, and two virtual interviews with the AI team and hiring manager. We aim to complete the process within three weeks. Apply via the link below to join us in shaping the future of AI-driven recruitment. Crescendo Global, a leading global executive search and recruitment firm, is expanding its AI innovation lab in Bengaluru. We are seeking a Generative AI Engineer to design, build, and deploy cutting-edge generative models that transform talent acquisition and workforce intelligence.

In this role, you will

• Architect and fine-tune large language models (LLMs) for domain-specific recruitment tasks such as candidate matching, resume parsing, and interview question generation.
• Develop and maintain scalable generative AI pipelines using Python, PyTorch, and Hugging Face Transformers, ensuring low-latency inference in production.
• Implement RAG (Retrieval-Augmented Generation) systems leveraging vector databases like Pinecone or Weaviate to ground model outputs in proprietary talent data.
• Collaborate with product managers and data engineers to integrate generative features into our SaaS platform, adhering to MLOps best practices with Docker, Kubernetes, and CI/CD on AWS.
• Conduct rigorous model evaluation, including automated benchmarking and human-in-the-loop feedback loops, to improve accuracy and reduce hallucination rates.
• Optimize model serving costs through quantization, distillation, and efficient GPU utilization on cloud infrastructure.
• Stay current with advances in generative AI (e.g., diffusion models, multimodal LLMs) and prototype innovative applications for HR tech.
• Document technical designs, contribute to internal knowledge bases, and mentor junior ML engineers.

Our Bengaluru office operates in a hybrid model, fostering a culture of experimentation and continuous learning. You will work alongside a diverse team of data scientists, engineers, and domain experts, with direct access to leadership and a clear path to principal engineer or AI architect roles.

We require a Masters degree in Computer Science, Machine Learning, or equivalent, with 5+ years of industry experience in building and deploying ML models, including at least 2 years focused on generative AI. Proficiency in Python, deep learning frameworks, and cloud platforms (AWS preferred) is essential. Experience with HR technology or talent data is a strong plus.

The hiring process includes an initial screening, a technical take-home challenge, and two virtual interviews with the AI team and hiring manager. We aim to complete the process within three weeks. Apply via the link below to join us in shaping the future of AI-driven recruitment.