Lead Full-stack Engineer - GenAI

About Blue Ridge Solutions, Inc

We are Blue Ridge, creators of the leading supply chain platform for distributors, retailers, and manufacturers. Our fast-growing and exciting SaaS supply chain planning platform provides cutting-edge supply chain solutions including forecasting and demand planning, replenishment, S&OP, rough-cut capacity planning, and pricing. Our software helps businesses gain control, improve forecasting precision, reduce costs, improve service levels, and increase profit.

We are looking for a passionate individual who is excited about the intersection of AI technology and supply chain optimization.  The Lead Full-stack Engineer - GenAI is responsible for building and deploying advanced machine learning systems with a focus on generative AI technologies that drive value for our supply chain solutions. You will lead the design and development of production-grade Generative AI (GenAI) and SaaS platforms. You’ll be the technical force behind scalable, secure, and intelligent systems that transform rapid PoCs into enterprise-ready solutions.

This is a strategic technical role within our AI/ML team, working at the intersection of cutting-edge research and practical implementation. You will be responsible for designing, developing, prototyping, improving and scaling ML systems from conception through production deployment, with emphasis on generative AI models and full-stack integration capabilities. 

Key Responsibilities

Genai/Ml System Development

• Design and develop Generative AI solutions using cloud-based managed AI services (e.g. Amazon Bedrock, Amazon SageMaker).
• Design and develop AI Agent workflows using cloud and open source agentic frameworks.
• Containerize AI applications and deploy them using cloud orchestration services.
• Collaborate with data architects/engineers to build end-to-end AI pipelines.
• Implement MLOps practices to automate the development, deployment, and monitoring of AI applications and models.
• Implement and manage robust monitoring systems for AI solutions in production environments, ensuring continuous performance tracking, anomaly detection, and model drift analysis; collaborate with cross-functional teams to deploy model updates, maintain version control, and optimize model efficiency over time.
• Use Infrastructure as Code (IaC) to manage and version cloud resources for AI projects.
• Ensure clear and accessible knowledge transfer to internal teams and create knowledge-sharing resources to ensure smooth transitions during model handoffs and system updates.
• Contribute to the development of best practices and standards for AI engineering within the organization.

Technical Leadership & Innovation 

• Lead the architecture and implementation of ML systems that can process supply chain data at scale
• Research and implement cutting-edge ML techniques including transformer models, reinforcement learning, and generative adversarial networks
• Optimize model performance for production environments, ensuring low latency and high availability
• Establish best practices for model versioning, monitoring, and continuous integration/deployment

Supply Chain Domain Excellence 

• Understand critical supply chain planning workflows and identify opportunities for AI-driven automation
• Develop ML models that provide insights into potential supply disruptions and recommend automated resolutions
• Build tools that increase the reach of supply chain solutions through partner integrations
• Act as the voice of AI innovation within the supply chain domain

Required Qualifications

Education & Experience

• University degree or higher in Computer Science, Machine Learning, Data Science, Artificial Intelligence, or related technical field, OR 5-7 years of equivalent experience in machine learning engineering
• 3+ years of hands-on experience designing, building, and deploying ML models and systems in production environments
• 3+ years of experience with deep learning frameworks (PyTorch, TensorFlow, Keras) and generative AI models
• Strong full-stack development experience with modern web technologies, ability to take concept to prototype

Technical Skills

• Programming Languages: Expert-level proficiency in Python; proficiency in JavaScript/TypeScript, SQL
• ML/AI Frameworks: PyTorch, TensorFlow, Hugging Face Transformers, LangChain, scikit-learn or equivalent
• Generative AI: Experience with large language models (GPT, BERT, LLaMA), fine-tuning techniques (RLHF, LoRA), and prompt engineering or equivalent
• Full-Stack Development: React, Node.js, REST APIs, microservices architecture
• MLOps: Docker, Kubernetes, CI/CD pipelines, model monitoring, and deployment automation or equivalent
• Data Technologies: Apache Spark, streaming data processing, vector databases, data warehousing or equivalent

Core Competencies

• Strong foundation in statistics, linear algebra, and optimization techniques
• Experience with distributed systems and large-scale data processing
• Proficiency in data structures, algorithms, and software engineering principles
• Experience with A/B testing, model evaluation, and performance monitoring
• Understanding of software development lifecycle and agile methodologies

Preferred Qualifications

Industry Experience

• Supply Chain Software: Previous experience with supply chain management software, ERP systems, or logistics platforms is highly valued
• Experience in B2B SaaS environments with enterprise-scale deployments
• Background in operations research, industrial engineering, or supply chain optimization

Advanced Technical Skills

• Experience with reinforcement learning for sequential decision-making problems
• Knowledge of graph neural networks and their applications to supply chain networks
• Familiarity with edge computing and model optimization for deployment constraints
• Experience with modern vector databases (Pinecone, Weaviate, ChromaDB) for RAG applications

What We Offer

Free Medical/Dental/Vision (for Individual)

401(K) Match

Unlimited Pto

Work-From-Home

Collaborative, Fun Environment

Blue Ridge is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex, sexual orientation, or any other characteristic protected by applicable laws, regulations, and ordinances.