Job Description
Job Description & Skill Requirement:
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• AI Solution Development & Deployment:
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o Design, develop, and deploy AI-driven solutions for engineering applications using frameworks such as LangGraph or similar.
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o Integrate AI capabilities into internal engineering tools to enhance productivity and automation.
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• Cloud AI Services Integration:
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o Deploy and manage AI solutions on AWS, ensuring scalability, security, and cost optimization.
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o Implement containerization, orchestration, and serverless architectures for AI workloads.
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• LLMOps & Testing:
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o Apply LLMOps best practices for lifecycle management of large language models, including CI/CD pipelines, monitoring, and governance.
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o Develop and execute testing strategies for AI applications to ensure reliability, accuracy, and compliance.
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• Agentic Workflows & MCP:
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o Collaborate with engineering teams to design MCP-based integrations for internal tools.
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o Enable agent-driven workflows that streamline engineering processes across software, hardware, and mechanical domains.
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• Technology Evaluation & Innovation:
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o Assess and recommend commercial AI tools for engineering use cases.
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o Stay informed about latest AI trends, frameworks, and technologies to guide strategic adoption.
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• Collaboration & Documentation:
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o Work closely with multidisciplinary teams in a global environment.
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o Produce clear technical documentation and contribute to knowledge-sharing initiatives.