Usalco is seeking an AI Platform Engineer responsible for designing, building, and operationalizing the organization's AI platform capabilities. This role involves collaborating with various teams to ...
Usalco is seeking an AI Platform Engineer responsible for designing, building, and operationalizing the organization's AI platform capabilities. This role involves collaborating with various teams to ...
Usalco is seeking a Senior Backend Engineer to design, develop, and maintain scalable backend systems and APIs for their enterprise applications and SaaS platforms. The role involves collaborating ...
Usalco is seeking a Senior Backend Engineer to design, develop, and maintain scalable backend systems and APIs for their enterprise applications and SaaS platforms. The role involves collaborating ...
As a general policy, USALCO does not offer employment visa sponsorships upon hire or in the future. #LI-Hybrid
Quick apply
As a general policy, USALCO does not offer employment visa sponsorships upon hire or in the future. #LI-Hybrid
AI Platform Engineer
Baltimore, MD · Remote
As a general policy, USALCO does not offer employment visa sponsorships upon hire or in the future. #LI-Remote
Quick apply
AI Platform Engineer
Baltimore, MD · Remote
As a general policy, USALCO does not offer employment visa sponsorships upon hire or in the future. #LI-Remote
Senior Backend Engineer
Baltimore, MD · Remote
As a general policy, USALCO does not offer employment visa sponsorships upon hire or in the future. #LI-Remote
Quick apply
Senior Backend Engineer
Baltimore, MD · Remote
As a general policy, USALCO does not offer employment visa sponsorships upon hire or in the future. #LI-Remote
Usalco information
What does Usalco do?
Usalco is a company that produces and supplies specialty chemicals and coatings for various industrial applications. Employees in related roles may work with chemical formulations, quality control, or manufacturing processes in a manufacturing environment. The company often requires knowledge of safety protocols and industry standards.
What are the key skills and qualifications needed to thrive as a USALCO chemical plant operator, and why are they important?
To thrive as a chemical plant operator at USALCO, you typically need a high school diploma or GED, basic chemistry knowledge, and experience in industrial or manufacturing environments. Familiarity with process control systems, safety protocols, and equipment maintenance is essential, and certifications such as OSHA or forklift operation are often valued. Attention to detail, problem-solving abilities, and effective teamwork are crucial soft skills for this role. These competencies ensure safe, efficient plant operations and help maintain high-quality production standards.
What is a Usalco job?
A Usalco job typically refers to a position at USALCO, a company specializing in high-quality aluminum-based chemicals used in water treatment and industrial applications. Jobs at USALCO can range from manufacturing and production roles to engineering, quality control, and administrative positions. Employees in these roles help develop, produce, and distribute chemical solutions that ensure clean water and efficient industrial processes.
What is USALCO and what do they do?
USALCO is a leading manufacturer of high-quality aluminum-based chemicals in the United States. These chemicals are primarily used in water and wastewater treatment, as well as in various industrial applications. USALCO's products help municipalities and industries purify water, remove contaminants, and meet regulatory standards. The company is known for its innovation, customer service, and commitment to environmental sustainability.
What job makes $10,000 a month without a degree?
High-paying sales roles, such as real estate agents or insurance brokers, can earn $10,000 or more monthly through commissions and performance. Skilled trades like commercial plumbing or electrical work, especially with experience and certifications, can also reach this income level without a college degree.
Which job is best for a 40 year old woman?
A 40-year-old woman can pursue a variety of roles such as administrative assistant, customer service representative, or project coordinator, depending on her skills and interests. These jobs often value experience and communication skills and may offer flexible schedules or part-time options.
What is the difference between Usalco vs Chemical Plant Operator?
| Aspect | Usalco | Chemical Plant Operator |
|---|---|---|
| Required Credentials | High school diploma or equivalent; some roles may require technical certifications | High school diploma; technical training or certifications often preferred |
| Work Environment | Manufacturing facilities, chemical plants, industrial settings | Chemical processing plants, manufacturing facilities, industrial environments |
| Industry Usage | Used across chemical manufacturing, water treatment, and industrial sectors | Primarily in chemical manufacturing, petrochemicals, and related industries |
| Common Search/Comparison | Usalco vs Chemical Plant Operator |
Both roles operate within chemical and industrial environments, requiring similar credentials and working in manufacturing settings. While Usalco may focus more on specific products or processes, Chemical Plant Operators are responsible for the day-to-day operation of chemical processing equipment. Understanding these differences helps job seekers identify the right career path in the chemical industry.
What are some typical daily responsibilities for a Chemical Operator at USALCO?
As a Chemical Operator at USALCO, your daily responsibilities typically include monitoring and controlling chemical production processes, performing routine equipment inspections, collecting and analyzing product samples, and ensuring adherence to safety and quality standards. You will also be responsible for documenting production data, troubleshooting equipment issues, and collaborating closely with quality assurance and maintenance teams to maintain efficient operations. Due to the fast-paced and regulated environment, attention to detail and strong communication skills are essential for success in this role.
What jobs pay 2000 a day?
High-paying jobs that can earn $2,000 or more per day include specialized roles such as surgeons, anesthesiologists, corporate lawyers, and certain high-level consultants or contractors. These positions typically require advanced education, certifications, significant experience, and often involve working in high-stakes environments or on a contract basis. Income levels vary based on industry, location, and workload.
More about Usalco jobs
What cities are hiring for Usalco jobs? Cities with the most Usalco job openings:
What states have the most Usalco jobs? States with the most job openings for Usalco jobs include:
What job categories do people searching Usalco jobs look for? The top searched job categories for Usalco jobs are:
USALCO rating
7.9
Based on 6 frontline employees who took The Breakroom Quiz
39th of 91 rated chemical manufacturers
Job description
Job Summary:
Usalco is seeking an AI Platform Engineer responsible for designing, building, and operationalizing the organization's AI platform capabilities. This role involves collaborating with various teams to create scalable, secure AI-enabled platform services that enhance both internal operations and external user experiences.
Responsibilities:
• Design, develop, and maintain reusable AI platform services and infrastructure components that support enterprise AI initiatives and customer-facing digital platforms, including AI APIs, orchestration services, retrieval-augmented generation (RAG) pipelines, prompt management, vector search capabilities, model integration frameworks, and reusable backend AI services.
• Design and implement AI capabilities that enhance customer-facing digital platforms and SaaS applications, including intelligent workflows, conversational interfaces, recommendation systems, predictive insights, automation services, and AI-assisted user experiences. Partner closely with frontend, backend, and UX teams to ensure AI capabilities are seamlessly integrated into unified digital platform experiences.
• Build and maintain a centralized AI Service Layer that standardizes how enterprise systems, digital platforms, and SaaS applications consume AI capabilities, ensuring reusable patterns for model access, prompt orchestration, logging, security, governance, and scalable AI integration across customer-facing and internal solutions.
• Partner closely with Data Integrations Engineering and Enterprise Systems teams to ensure enterprise data assets are accessible, structured, secure, normalized, and optimized for AI and analytics workloads across both internal and customer-facing systems.
• Support scalable multi-tenant and customer-specific SaaS deployment models, including customer environment provisioning standards, AI service deployment architecture, database isolation strategies, deployment automation, and platform scalability best practices.
• Collaborate closely with DevOps, Backend Engineering, Data Integrations, Enterprise Systems, Frontend Development, and UI/UX teams to define scalable AI integration standards, reusable AI-enabled development patterns, and AI platform best practices across the organization. Partner with business departments including Operations, Sales, R&D, and other functional teams to identify opportunities for AI-enabled process improvement, intelligent automation, predictive insights, and enhanced digital platform capabilities that align with organizational objectives and operational needs.
Qualifications:
Required:
• Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Engineering, or related field.
• 5+ years of experience in AI engineering, machine learning engineering, AI platform development, or related technical roles.
• Demonstrated experience building and deploying AI-enabled applications, AI services, or customer-facing AI capabilities in production environments.
• Strong proficiency in Python, SQL, REST APIs, and AI service development.
• Experience designing and deploying AI/ML services using Azure, Anthropic, vector databases, or related AI tooling.
• Experience integrating AI capabilities into customer-facing web applications, SaaS products, or digital platform experiences.
• Familiarity with scalable SaaS application architectures, API integration patterns, and AI orchestration workflows.
• Familiarity with relational databases, secure data access concepts, and customer-aware data architectures.
• Strong analytical, systems-thinking, and problem-solving capabilities.
• Ability to clearly communicate technical concepts and AI solution designs to both technical and non-technical stakeholders.
• Ability to work independently and collaboratively within cross-functional teams including Backend Engineering, Frontend Development, DevOps, Data Integrations, and UI/UX.
• Willingness to travel occasionally (approximately 10%).
Preferred:
• Master's degree in Computer Science, Artificial Intelligence, Data Engineering, or related field.
• Experience building enterprise AI service layers, AI orchestration platforms, or reusable AI-enabled application services.
• Experience integrating AI capabilities into customer-facing SaaS applications or digital platform experiences.
• Experience with Azure AI Services, Azure Functions, Azure SQL, Azure Data Factory, Event Grid, Service Bus, or related Azure platform services.
• Experience working within scalable SaaS application environments and customer-aware deployment models.
• Experience with observability, monitoring, logging, and operational support for AI-enabled services.
• Experience implementing secure AI governance, model access controls, and operational AI best practices.
• Experience mentoring engineers or providing technical leadership across cross-functional development teams.
• Relevant Azure, AI, or cloud-related certifications.
Company:
USALCO is a provider of high quality aluminum-based chemicals used primarily in water and wastewater treatment processes. Founded in 1980, the company is headquartered in Baltimore, USA, with a team of 501-1000 employees. The company is currently Late Stage.
Usalco is seeking an AI Platform Engineer responsible for designing, building, and operationalizing the organization's AI platform capabilities. This role involves collaborating with various teams to create scalable, secure AI-enabled platform services that enhance both internal operations and external user experiences.
Responsibilities:
• Design, develop, and maintain reusable AI platform services and infrastructure components that support enterprise AI initiatives and customer-facing digital platforms, including AI APIs, orchestration services, retrieval-augmented generation (RAG) pipelines, prompt management, vector search capabilities, model integration frameworks, and reusable backend AI services.
• Design and implement AI capabilities that enhance customer-facing digital platforms and SaaS applications, including intelligent workflows, conversational interfaces, recommendation systems, predictive insights, automation services, and AI-assisted user experiences. Partner closely with frontend, backend, and UX teams to ensure AI capabilities are seamlessly integrated into unified digital platform experiences.
• Build and maintain a centralized AI Service Layer that standardizes how enterprise systems, digital platforms, and SaaS applications consume AI capabilities, ensuring reusable patterns for model access, prompt orchestration, logging, security, governance, and scalable AI integration across customer-facing and internal solutions.
• Partner closely with Data Integrations Engineering and Enterprise Systems teams to ensure enterprise data assets are accessible, structured, secure, normalized, and optimized for AI and analytics workloads across both internal and customer-facing systems.
• Support scalable multi-tenant and customer-specific SaaS deployment models, including customer environment provisioning standards, AI service deployment architecture, database isolation strategies, deployment automation, and platform scalability best practices.
• Collaborate closely with DevOps, Backend Engineering, Data Integrations, Enterprise Systems, Frontend Development, and UI/UX teams to define scalable AI integration standards, reusable AI-enabled development patterns, and AI platform best practices across the organization. Partner with business departments including Operations, Sales, R&D, and other functional teams to identify opportunities for AI-enabled process improvement, intelligent automation, predictive insights, and enhanced digital platform capabilities that align with organizational objectives and operational needs.
Qualifications:
Required:
• Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Engineering, or related field.
• 5+ years of experience in AI engineering, machine learning engineering, AI platform development, or related technical roles.
• Demonstrated experience building and deploying AI-enabled applications, AI services, or customer-facing AI capabilities in production environments.
• Strong proficiency in Python, SQL, REST APIs, and AI service development.
• Experience designing and deploying AI/ML services using Azure, Anthropic, vector databases, or related AI tooling.
• Experience integrating AI capabilities into customer-facing web applications, SaaS products, or digital platform experiences.
• Familiarity with scalable SaaS application architectures, API integration patterns, and AI orchestration workflows.
• Familiarity with relational databases, secure data access concepts, and customer-aware data architectures.
• Strong analytical, systems-thinking, and problem-solving capabilities.
• Ability to clearly communicate technical concepts and AI solution designs to both technical and non-technical stakeholders.
• Ability to work independently and collaboratively within cross-functional teams including Backend Engineering, Frontend Development, DevOps, Data Integrations, and UI/UX.
• Willingness to travel occasionally (approximately 10%).
Preferred:
• Master's degree in Computer Science, Artificial Intelligence, Data Engineering, or related field.
• Experience building enterprise AI service layers, AI orchestration platforms, or reusable AI-enabled application services.
• Experience integrating AI capabilities into customer-facing SaaS applications or digital platform experiences.
• Experience with Azure AI Services, Azure Functions, Azure SQL, Azure Data Factory, Event Grid, Service Bus, or related Azure platform services.
• Experience working within scalable SaaS application environments and customer-aware deployment models.
• Experience with observability, monitoring, logging, and operational support for AI-enabled services.
• Experience implementing secure AI governance, model access controls, and operational AI best practices.
• Experience mentoring engineers or providing technical leadership across cross-functional development teams.
• Relevant Azure, AI, or cloud-related certifications.
Company:
USALCO is a provider of high quality aluminum-based chemicals used primarily in water and wastewater treatment processes. Founded in 1980, the company is headquartered in Baltimore, USA, with a team of 501-1000 employees. The company is currently Late Stage.