Senior AI Engineer

2 hours ago

Palakkad, Kerala, India beBeeArtificialIntelligence Full time ₹ 1,80,00,000 - ₹ 2,40,00,000

We are seeking an agile AI expert to lead the development of innovative SaaS products leveraging Large Language Models (LLMs) like Meta, Azure OpenAI, Claude, and Mistral.

Job Overview

You will be responsible for designing, developing, and deploying cloud-based products that integrate AI with business requirements and user needs.

Key Responsibilities:
  • Leverage LLMs to design, develop, and deploy scalable and secure SaaS solutions.
  • Support product lifecycle, from conceptualization to deployment, ensuring seamless integration of AI models with business strategies and customer expectations.
  • Build efficient SaaS products that embody robust data management and comply with security and governance standards.
  • Collaborate closely with stakeholders to align AI-driven SaaS solutions with business goals and customer needs.
  • Fine-tune AI models using custom instructions to tailor them to specific use cases and optimize performance through techniques like quantization and model tuning.
  • Architect AI deployment strategies using cloud-agnostic platforms (AWS, Azure, Google Cloud), ensuring cost optimization while maintaining performance and scalability.
  • Apply retrieval-augmented generation (RAG) techniques to build AI models that provide contextually accurate and relevant outputs.
  • Build the integration of APIs and third-party services into the SaaS ecosystem, ensuring robust and flexible product architecture.
  • Monitor product performance post-launch, iterating and improving models and infrastructure to enhance user experience and scalability.
  • Stay current with AI advancements, SaaS development trends, and cloud technology to apply innovative solutions in product development.
Qualifications:
  • Bachelor's degree or equivalent in Information Systems, Computer Science, or related fields.
  • 6+ years of experience in product development, with at least 2 years focused on AI-based SaaS products.
  • Demonstrated experience in leading the development of SaaS products, from ideation to deployment, with a focus on AI-driven features.
  • Hands-on experience with LLMs (Meta, Azure OpenAI, Claude, Mistral) and SaaS platforms.
  • Proven ability to build secure, scalable, and compliant SaaS solutions, integrating AI with cloud-based services (AWS, Azure, Google Cloud).
  • Strong experience with RAG model techniques and fine-tuning AI models for business-specific needs.
  • Proficiency in AI engineering, including machine learning algorithms, deep learning architectures (e.g., CNNs, RNNs, Transformers), and integrating models into SaaS environments.
  • Solid understanding of SaaS product lifecycle management, including customer-focused design, product-market fit, and post-launch optimization.
  • Excellent communication and collaboration skills, with the ability to work cross-functionally and drive SaaS product success.
  • Knowledge of cost-optimized AI deployment and cloud infrastructure, focusing on scalability and performance.

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