AI Engineer - AI Engineer(Go Lang)

Join a fast-paced engineering team developing AI-powered intelligent routing solutions and scalable backend services using Golang, AWS, and Python. This role focuses on building and integrating AI capabilities into enterprise applications, enhancing automation and decision-making, and developing cloud-native solutions that support intelligent call routing and related workflows. The ideal candidate will work across AI engineering, backend development, and data pipeline automation while collaborating with cross-functional teams to deliver production-grade solutions in a highly accountable environment., * Develop and deploy AI models leveraging a strong background in Python programming.

• Design and develop AI-enabled solutions for intelligent call routing and related workflows.
• Build reliable, scalable backend services using Golang.
• Develop and integrate cloud-based services on AWS.
• Apply AI concepts to improve routing decisions, automation, and system intelligence.
• Collaborate in a fast-paced engineering environment to troubleshoot issues and deliver solutions.
• Proactively identify risks, raise questions, and communicate blockers or technical concerns.
• Take strong personal ownership and accountability for assigned deliverables.

Artificial Intelligence (AI), Artificial Intelligence (AI), Automation, Python Programming/Scripting Language, Enterprise Applications, Data Management, Cloud Computing, Cross-Functional, Go Programming Language (Golang), Call Routing, Strong AWS familiarity. Experience in call routing concepts are a plus, Strong in Golang.

Experience with AI concepts - we will be using AI to enable intelligent routing.

Must have strong personal accountability. This effort is fast paced and there is no time to baby sit. Must be able to speak up, ask questions., * Strong familiarity with AWS services and cloud-based application development.

• Practical understanding of AI concepts and experience integrating AI capabilities into applications.
• Understanding of APIs, distributed services, and backend system integration.
• Experience with call routing, contact center, or telephony concepts is a strong plus.
• Strong problem-solving and debugging skills.
• Demonstrated ability to work independently with minimal supervision.
• Strong personal accountability and ownership mindset.
• Confident communicator who proactively asks questions, speaks up, and works effectively in a fast-paced environment
• Design, implement, and maintain data pipelines for various purposes, including ETL processes, model scoring, model performance monitoring, data offloading, job scheduling, and automation.
• Utilize SQL for data manipulation, querying, and analysis to support AI model development and optimization.
• Collaborate with cross-functional teams to integrate AI solutions into existing infrastructure and workflows.
• Familiarize with and utilize tools such as Airflow, Domino, and Control-M for workflow orchestration, scheduling, and automation.
• Manage codebase using version control systems like Gitlab (or Git) and participate in CI/CD pipeline activities.
• Work with data storage technologies such as Snowflake, Cloudera, Hadoop, HDFS, and Hive for data storage, retrieval, and processing.
• Strong Python background with demonstrable experience in AI and machine learning