This role is suitable for someone who is interested in applying software development to real engineering systems, including equipment monitoring, data logging, alarm functions, system testing, and hardware-software integration.
Your Growth & Impact
Develop practical skills in software, sensors, controllers, equipment communication, and industrial system integration through hands-on development and testing.
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Partner with AI engineers and developers — including agentic AI initiatives such as multi-agent orchestration systems, natural-language query layers over real-time vision event data, and LLM tool-use and automation — to scope, estimate, and sequence work accurately.
Develop detailed project plans, timelines, and resource allocation; monitor progress and report against KPIs.
Serve as the primary point of contact for clients, managing communication and expectations across technical and business audiences.
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Develop proofs of concept and transition successful solutions into production-ready applications, including reusable components, templates, and standardized integrations.
Integrate and operate open-source and commercial language models (e.g., Gemma, Qwen), managing centralized model access, routing, and governance using solutions such as LiteLLM.
Select suitable models based on quality, cost, latency, privacy, and use-case requirements, and develop and optimize prompts, system instructions, and structured model outputs.
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