AI Developer

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.