Artificial Intelligence Engineer Position Available In Orange, Florida

Company:

Mini- Circuits Position:

Sr.

AI Engineer Location:

Neptune, NY moving to

Melville, NY Duration:

3-6 month contract to hire

Pay:

$75-85/hr As an AI engineer, you’ll work closely with a cross-functional team of customer support engineers, sales team, technical team, and product managers to identify business problems, define uses cases and build AI-powered applications that change how our internal users work and how our customers interact.

Qualifications:

B.S. in Computer Science or related field with 8+ years’ experience; or M.S. in Computer Science or related field with 7+ years’ experience. 7-10 years required (10+ years preferred) – Overall 7+ years of hands-on experience in IT industry designing, developing, testing and managing software applications and cloud infrastructure. 3 years’ required experience in building AI/ML applications (using Amazon Bedrock or similar tools) building Agentic AI based applications. programming languages such as Python, Java, and C. 3 years’ required experience in database management Relational and no-sql database management. Data mining practices and tools. 1-2 years’ experience (preferred) in Design, develop and maintain cloud hosted AI solutions, experience in developing AI agents, prompts and knowledge bases. Experience in working closely with end-users, product managers understanding their problems and needs and delivering secure AI powered solutions (using Amazon Bedrock or similar tools)

Job Function:

Design, develop, and deploy AI-powered applications to meet business needs and solve problems. Build AI applications using cloud native services, LLMs, incorporating RAG, text-to-SQL, and agentic workflows. Identify data sources, perform data mining, data sync, and analyze large datasets to extract insights. Collaborate with application and support teams to integrate AI solutions into existing systems. Conduct POCs to develop and optimize algorithms for performance and scalability in new use cases. Database design and management tasks to support data storage requirements. Develop AI strategies, roadmaps, and conduct reviews with senior management and business users. Stay updated on the latest advancements in AI/ML technologies and methodologies. Document processes, models, and findings for future reference and knowledge sharing. Deploy applications on cloud infrastructure for scalability, high-availability and resilience. Manage user access to the AI applications and regular auditing and reviewing best practices. Develop Backup and Disaster Recovery (DR) strategy for Infrastructure and Applications. Administration and maintenance of the AI systems, hosting, configuring, securing the data and access and implementing best practices. Regularly and promptly reporting issues and application health to management. Patching and upgrading the environment as defined by corporate policy. Develop and maintain the necessary documentation, including Requirements documentation, Architecture/Design documentation and Test Cases.