Senior AI Engineer

Develop, fine-tune, and deploy AI models, including large language models (LLMs) such as GPT-4 or open-source equivalents.

Design and implement effective prompt engineering strategies and optimizations to enhance AI accuracy, consistency, and reliability.

Engage with internal stakeholders and clients to understand business needs, translating them into actionable AI solutions.

Rapidly prototype, test, and iterate AI applications using advanced Python programming and relevant frameworks.

Integrate AI solutions securely with existing enterprise systems (CRM, ERP, HRIS, finance platforms, collaboration software) via API development and integration.

Build, maintain, and optimize end-to-end data pipelines to ensure accurate and timely data delivery for AI models.

Manage structured and unstructured datasets, leveraging vector databases and semantic search to enhance knowledge management capabilities.

Deploy, manage, and scale AI solutions within cloud computing environments (Azure, AWS, GCP), ensuring high availability, performance, and cost efficiency.

Implement DevOps and MLOps practices, including automated deployment, testing, monitoring, and version control, to efficiently manage the AI model lifecycle.

Ensure AI solutions adhere to industry standards and compliance regulations (GDPR, HIPAA), emphasizing security and privacy best practices.

Identify and mitigate risks associated with AI deployments, proactively addressing ethical considerations, biases, and unintended consequences.

Collaborate closely with business and functional teams to streamline processes through intelligent automation and deliver measurable business outcomes.

Provide clear documentation of technical designs, project plans, and operational procedures.

Contribute to the continuous improvement of AI best practices, methodologies, and internal frameworks.

• Stay abreast of the latest AI and machine learning developments, continuously evaluating emerging technologies and methodologies.