Artificial Intelligence Engineer Job at Insight Global, Brooklyn, NY

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  • Insight Global
  • Brooklyn, NY

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.

Job Tags

Contract work,

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