Develop and optimize AI inference systems for large language models and multimodal AI
Build robust APIs and services that power AI-driven features for supply chain management applications
Design and implement scalable data pipelines for model training and evaluation
Create developer tools and frameworks that enable internal teams to leverage AI capabilities
Contribute to model fine-tuning, deployment, and monitoring workflows
Collaborate with cross-functional teams to define and execute product roadmaps
Expertise in optimizing high-performance, low-latency systems
Knowledge of prompt engineering and AI safety/alignment techniques
Document code, algorithms, and methodologies for reproducibility and knowledge sharing.
Stay current with the rapidly evolving generative AI landscape
Requirements
Bachelor’s or Master’s degree in computer science, Engineering, or related field.
Min of 8 years of experience in software engineering, with a focus on Python development building APIs (MUST)
Strong understanding of Generative AI concepts and techniques, with practical experience in developing and implementing Generative AI models and algorithms.
Proficiency in programming languages used in AI and machine learning, such as Python, TensorFlow, PyTorch, etc.
Experience with machine learning frameworks such as PyTorch, TensorFlow, or JAX
Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization technologies with Docker and Kubernetes
Understanding of distributed systems and performance optimization
Knowledge of modern software development practices including CI/CD, testing, and version control
Excellent problem-solving skills and attention to detail.
Tech Stack
AWS
Azure
Cloud
Distributed Systems
Docker
Google Cloud Platform
Kubernetes
Python
PyTorch
Tensorflow
Benefits
Comprehensive Medical, Dental and Vision
401K with Matching
Flexible Time Off
Corporate Fitness Program
A variety of voluntary benefits such as; Legal Plans, Accident and Hospital Indemnity, Pet Insurance and much more