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AI Engineer

Link Group
3 days ago
Remote
AI Services

Skills:

  • experience in AI Engineering, Machine Learning Engineering, or Generative AI solution development
  • Proven experience designing and building Agentic AI systems, including multi-agent workflows, orchestration frameworks, and autonomous reasoning architectures
  • Strong understanding of LLMs, Retrieval-Augmented Generation (RAG), prompt engineering, and AI application design patterns
  • Experience designing and implementing AI Systems Architecture & Integration, including integration with enterprise applications, databases, APIs, and analytics platforms
  • Hands-on experience with AI orchestration frameworks such as LangGraph, LangChain, Semantic Kernel, CrewAI, AutoGen, or similar
  • Strong software engineering skills in Python
  • Experience designing scalable AI solutions following enterprise architecture and security best practices
  • Deep understanding of AI Governance & Compliance, including model risk management, explainability, auditability, AI security, and responsible AI principles
  • Experience implementing AI monitoring, evaluation, guardrails, and human-in-the-loop processes
  • Knowledge of cloud AI services (Azure AI, AWS Bedrock, Google Vertex AI, OpenAI, Anthropic, etc.)
  • Strong understanding of data architecture, APIs, and system integration patterns
  • Ability to translate business requirements into AI-enabled solutions
  • Fluent English communication skills

Nice to Have

  • Experience with AI-assisted software modernization or migration projects
  • Knowledge of BI and analytics platforms such as Tableau, QlikView/Qlik Sense, or Apache Superset
  • Experience building AI solutions for dashboard generation, metadata extraction, documentation generation, or business logic discovery
  • Experience with vector databases and knowledge graph technologies
  • Understanding of Data Governance and enterprise data management
  • Experience with MLOps, LLMOps, CI/CD pipelines, and AI observability platforms
  • Experience with Azure, AWS, or GCP enterprise architectures
  • Familiarity with Spec Driven Development and AI-assisted development methodologies