Job Description

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.

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