o Design, develop, and deploy AI-driven solutions for engineering applications using frameworks such as LangGraph or similar.
o Integrate AI capabilities into internal engineering tools to enhance productivity and automation.
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Cloud AI Services Integration:
o Deploy and manage AI solutions on AWS, ensuring scalability, security, and cost optimization.
o Implement containerization, orchestration, and serverless architectures for AI workloads.
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LLMOps & Testing:
o Apply LLMOps best practices for lifecycle management of large language models, including CI/CD pipelines, monitoring, and governance.
o Develop and execute testing strategies for AI applications to ensure reliability, accuracy, and compliance.
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Agentic Workflows & MCP:
o Collaborate with engineering teams to design MCP-based integrations for internal tools.
o Enable agent-driven workflows that streamline engineering processes across software, hardware, and mechanical domains.
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Technology Evaluation & Innovation:
o Assess and recommend commercial AI tools for engineering use cases.
o Stay informed about latest AI trends, frameworks, and technologies to guide strategic adoption.
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Collaboration & Documentation:
o Work closely with multidisciplinary teams in a global environment.
o Produce clear technical documentation and contribute to knowledge-sharing initiatives.
Qualification:
Bachelor's "
Disclaimer:
E-Solutions Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. We especially invite women, minorities, veterans, and individuals with disabilities to apply. EEO/AA/M/F/Vet/Disability
AI Solution Development Engineer1MCP, AWS, Generative
AI, AI/ML
Engineer, Containerization & Orchestration, LLMs & MLOps Full TimeUnited States
