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AI Engineer
RELQ Technologies LLC
posted 2hr ago
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Job Description
Job Overview
We are seeking an agile AI Engineer with a strong focus on both AI engineering and SaaS product development in a 0-to-1 product environment. This role is perfect for a candidate skilled in building and iterating quickly, embracing a fail fast approach to bring innovative AI solutions to market rapidly. You will be responsible for designing, developing, and deploying SaaS products using advanced Large Language Models ( LLMs ) such as Azure OpenAI , Meta, Claude , or Mistral , while ensuring secure, scalable, and high-performance architecture. Your ability to adapt, iterate, and deliver in fast-paced environments is critical.
Responsibilities
- Lead the design, development, and deployment of SaaS products leveraging LLMs, including platforms like Google, Azure OpenAI, Meta, Claude, or Mistral and Open-source models.
- Support product lifecycle, from conceptualization to deployment, ensuring seamless integration of AI models with business requirements and user needs.
- Build Conversational AI, BOTS, Train and Re-Train them.
- Knowledge of Security Implementation, Pattern Analysis, OCR, Facial Recognition, Fraud detection leveraging AI
- Build secure, scalable, and efficient Solutions that embody robust data management and comply with security and governance standards.
- Collaborate closely with product management, and other stakeholders to align AI-driven SaaS solutions with business strategies and customer expectations.
- Fine-tune AI models using custom instructions to tailor them to specific use cases and optimize performance through techniques like quantization and model tuning.
- Working with Various types of Data(Speech, Vision, Spatial, IoT) and training the models.
- 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.
- Any Banking domain experience is added advantage .
Employment Type: Full Time, Permanent
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