MD
GenAI Engineer / Generative AI Engineer / Artificial Intelligence (AI) Engineer
Macpower Digital Assets Edge Private Limited
πΊπΈ United States
On-site
5 days ago
$68,432 β $102,272 / year
- Machine Learning
- AI
- IAM
- Identity Management
- Python
- LangChain
- Large Language Models
- SQL
- Azure
- AWS
- GCP
5 days ago
Compensation:
- Hourly Rate: $65.00 β $85.00 per hour.
- Annual Salary Equivalent: $68,432 β $102,272.
- Design and develop AI capabilities for enterprise identity management platforms.
- Build AI-powered decision engines to improve access requests, certifications, and governance workflows.
- Develop Python-based data pipelines for processing identity, entitlement, and usage data.
- Build and integrate agentic AI workflows using orchestration frameworks such as LangChain.
- Develop recommendation models that combine business rules with AI-driven insights.
- Integrate AI services with enterprise applications using APIs and workflow automation.
- Collaborate with engineering teams to improve governance, decision quality, and user experience.
- Ensure all AI solutions are reliable, scalable, explainable, and production-ready.
- Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, Information Technology, or equivalent professional experience.
- Strong proficiency in Python programming.
- Proven experience building AI-powered enterprise applications.
- Expertise in Large Language Models (LLMs), agentic AI workflows, and prompt engineering.
- Experience with orchestration frameworks such as LangChain.
- Proficiency in SQL and the development of complex data pipelines.
- Experience integrating AI capabilities into enterprise applications via APIs and workflow automation.
- Solid understanding of cloud platforms ( Azure, AWS, or GCP), distributed systems, and enterprise architecture.
- Native or bilingual proficiency in English.
- Prior experience in the Identity and Access Management (IAM) domain.
- Experience building recommendation engines or AI-based classification models.
- Knowledge of explainable AI, model governance, and rule-based decision engines.
- Experience with workflow automation and lifecycle management.
- Relevant certifications, such as Microsoft Azure AI Engineer Associate, AWS Certified Machine Learning β Specialty, or Google Professional Machine Learning Engineer.
GenAI Engineer / Generative AI Engineer / Artificial Intelligence (AI) Engineer Β· Macpower Digital Assets Edge Private Limited