Artificial Intelligence Engineer
BeaconFire Inc.
Mundelein, IL, United States
6 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Starter
Experience required
0 years minimum
Compensation
$62,000 - $80,000
Working hours
Regular working hours
Job source
Tech stack
HTML
Java (Programming Language)
JavaScript (Programming Language)
Application Programming Interfaces (APIs)
Artificial Intelligence
Apache Tomcat
Oracle WebLogic Server
Cascading Style Sheets (CSS)
Data Structures
Relational Databases
Query Languages
Spring Framework
+9 more
PostgreSQL
Apache Maven
MySQL
Object-Oriented Software Development
RabbitMQ
Software Engineering
ReactJS
Large Language Models
Information Technology
Requirements
Development, and Business Intelligence. We are looking for motivated Software Engineers, n
- Experience in the programming languages Java and JavaScript.
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- Decent understanding of the software development life cycle.
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- Basic programming skills using object-oriented programming (OOP) languages with in-depth knowledge of common APIs and data structures like Collections, Maps, lists, Sets, etc.
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Knowledge of relational databases (e.g., MySQL, PostgreSQL), basic SQL query language skills., n
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Masterβs Degree in Computer Science (CS).
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- 0-1 year of practical experience in Java coding.
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- Experience using Spring, Maven, React.js, HTML, CSS.
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- Knowledge of other contemporary Java technologies (e.g., Weblogic, RabbitMQ, Tomcat, etc.)
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- Basic understanding of AI/LLM concepts.
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- Spring AI or LangChain4j experience.
Benefits & conditions
- Develop scalable web applications using Java 8/17, Spring Boot, SQL, NoSQL, Kafka, RabbitMQ, Angular 2+, React.js, HTML5, CSS, JavaScript, and TypeScript.
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- Write clean and efficient code, and ensure code maintainability and reusability.
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- Conduct Testing to ensure application and reliability.
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- Perform code reviews to ensure code quality, consistency, and adherence to best practices.
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- Participate in Agile Scrum team and own the full development lifecycle, including project planning, design, implementation, testing, and optimization.
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- Create and maintain comprehensive technical documentation for applications, APIs, and deployment procedures.
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- Ship to production: APIs, monitoring/observability, cost/performance optimization, CI/CD, and security best practices.
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- Stay up to date with the latest technologies for Java development.
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AI Integration:
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- Implement RAG pipelines using Spring AI and LangChain4j with vector database integration.
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- Stay up to date with the latest RAG technologies and best practices, including chunking strategies, embeddings, retrieval optimization, and reranking techniques.
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