What are the responsibilities and job description for the AI Engineer position at Compunnel Inc.?
Key Responsibilities
Lead the design and implementation of scalable, secure cloud architectures for enterprise solutions leveraging large language models (LLMs) from Google and OpenAI
Build applications using vector databases, LangChain, and text embeddings
Develop and maintain cloud-based solutions that integrate LLMs to enhance search capabilities and user experience
Design and implement solutions using Azure technologies, including Azure App Service Environment (ASE), Azure Functions, Azure API Management, Azure Service Bus, Logic Apps, Azure Storage, Azure Cognitive Services, Azure Cosmos DB, Azure Data Factory, Databricks, Azure Data Lake, and caching technologies
Provide technical leadership and mentorship to team members, promoting best practices in cloud architecture and LLM integration
Ensure compliance with security standards and best practices for cloud architecture and data handling, particularly when processing sensitive information through LLMs
Troubleshoot performance and production issues using logging and monitoring tools such as Splunk and Application Insights
Apply knowledge of infrastructure design across private and public cloud environments
Establish monitoring systems to evaluate the operational efficiency of existing applications and support proactive maintenance
Participate in systems design within established frameworks and provide technical direction to team members and contractors
Stay current with industry trends, cloud technologies, and advancements in LLMs to improve enterprise search solutions
Demonstrate strong leadership, team-building, communication, and mentoring skills, including the ability to explain complex technical concepts to non-technical stakeholders
Create detailed architectural documentation and design patterns, ensuring alignment with cloud security standards and compliance requirements
Required Qualifications
3 years of experience
Bachelors Degree in Computer Science, Data Science, Artificial Intelligence, or a related field
Skills
AI Development and Implementation
Python
TensorFlow
PyTorch
Natural Language Processing
Generative AI Models
LangChain
LangGraph
Agentic AI Solutions
Vector Databases
Azure Cloud Technologies
Google Cloud Services
Enterprise Search Applications
Databricks
Cloud Architecture
Cloud Security and Compliance
Monitoring and Logging Tools
Caching Technologies
Cloud-Native and Hybrid Web Development
Technical Leadership
Mentoring and Coaching
Stakeholder Communication
AI Governance
Prompt Engineering
Architectural Documentation
Cross-functional Collaboration
Schedule
Start date: 2026-11-06
Lead the design and implementation of scalable, secure cloud architectures for enterprise solutions leveraging large language models (LLMs) from Google and OpenAI
Build applications using vector databases, LangChain, and text embeddings
Develop and maintain cloud-based solutions that integrate LLMs to enhance search capabilities and user experience
Design and implement solutions using Azure technologies, including Azure App Service Environment (ASE), Azure Functions, Azure API Management, Azure Service Bus, Logic Apps, Azure Storage, Azure Cognitive Services, Azure Cosmos DB, Azure Data Factory, Databricks, Azure Data Lake, and caching technologies
Provide technical leadership and mentorship to team members, promoting best practices in cloud architecture and LLM integration
Ensure compliance with security standards and best practices for cloud architecture and data handling, particularly when processing sensitive information through LLMs
Troubleshoot performance and production issues using logging and monitoring tools such as Splunk and Application Insights
Apply knowledge of infrastructure design across private and public cloud environments
Establish monitoring systems to evaluate the operational efficiency of existing applications and support proactive maintenance
Participate in systems design within established frameworks and provide technical direction to team members and contractors
Stay current with industry trends, cloud technologies, and advancements in LLMs to improve enterprise search solutions
Demonstrate strong leadership, team-building, communication, and mentoring skills, including the ability to explain complex technical concepts to non-technical stakeholders
Create detailed architectural documentation and design patterns, ensuring alignment with cloud security standards and compliance requirements
Required Qualifications
3 years of experience
Bachelors Degree in Computer Science, Data Science, Artificial Intelligence, or a related field
Skills
AI Development and Implementation
Python
TensorFlow
PyTorch
Natural Language Processing
Generative AI Models
LangChain
LangGraph
Agentic AI Solutions
Vector Databases
Azure Cloud Technologies
Google Cloud Services
Enterprise Search Applications
Databricks
Cloud Architecture
Cloud Security and Compliance
Monitoring and Logging Tools
Caching Technologies
Cloud-Native and Hybrid Web Development
Technical Leadership
Mentoring and Coaching
Stakeholder Communication
AI Governance
Prompt Engineering
Architectural Documentation
Cross-functional Collaboration
Schedule
Start date: 2026-11-06