AI Software Engineer responsible for designing and developing AI-powered software solutions in industrial automation. Collaborating with global teams to build scalable applications leveraging advanced AI technologies.
Responsibilities
Design, develop, test, and maintain AI‑powered software applications across the full technology stack.
Integrate AI technologies into production‑ready software, including models, frameworks, and supporting services.
Develop secure, reliable AI pipelines and backend services using modern tools and libraries.
Build front‑end components that effectively interact with AI services, data sources, and user workflows.
Ensure seamless integration across user interfaces, backend services, and data stores.
Support end‑to‑end application development, packaging, deployment, and lifecycle management.
Contribute to CI/CD pipelines and build, release, and automation practices.
Follow established architectural patterns, coding standards, and engineering guardrails.
Participate in code reviews and continuous improvement initiatives to enhance quality and performance.
Research, evaluate, and apply emerging AI technologies to solve real‑world challenges.
Collaborate closely with stakeholders and global teams to align technical solutions with business needs.
Create and maintain clear technical documentation to support knowledge sharing and scalability.
Requirements
Bachelor’s in Engineering, Computer Science, Artificial Intelligence, IT, or any related STEM field.
Familiarity with software design patterns (e.g., SOLID, common object-oriented patterns).
Working knowledge of data preparation, feature engineering, prompt engineering, and model evaluation approaches.
Strong analytical, problem‑solving, communication, and collaboration skills.
Ability to travel up to 5%.
Legal Authorization to work in the United States without sponsorship.
5+ years of experience developing production‑ready software using languages such as C++, C#, Python, or Java.
Hands‑on experience building AI‑powered or data‑driven applications.
Understanding of AI concepts, including machine learning, generative AI, and model development.
Experience with AI frameworks or platforms such as PyTorch, TensorFlow, or similar tools.
Familiarity with orchestration or AI application frameworks such as Haystack, LangChain, Ollama, or related technologies.
Experience designing or consuming REST APIs and working with asynchronous systems.
Awareness of responsible AI principles, including security, privacy, and bias mitigation.
Exposure to enterprise‑scale systems, distributed architectures, or large‑scale application design.
Understanding of UX/UI principles and user‑trust considerations.
Familiarity with Agile development practices, test‑driven development, and DevSecOps methodologies.
Benefits
We provide a variety of medical insurance plans, with dental and vision coverage
Employee Assistance Program
401(k)
Tuition reimbursement
Employee resource groups
Recognition
Flexible time off plans, including paid parental leave (maternal and paternal), vacation and holiday leave.
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