AI Engineer

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.

12600 Hill Country Boulevard

Suite 275

Austin, TX 78738

O: 312.775.1845 | F: 425.940.8850

www.hgsdigital.com

Page 2 of 2

651 Washington Boulevard

Suite 303

Chicago, IL 60661

• 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

• Bachelors 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