AI Software Engineer
Job Description
If you are a Software Engineer professional looking for an opportunity to grow your career, this role offers the chance to design and deliver impactful, real-world AI-enabled software solutions that support industrial automation. As an AI Software Engineer , you will collaborate with global, cross-functional teams to build scalable, secure, and user-focused applications that connect advanced AI technologies with practical business outcomes. This role emphasizes innovation, teamwork, and continuous learning while contributing to solutions that make a meaningful difference for customers and communities. In This Role, Your Responsibilities Will Be:- 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.
- 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.
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