AI Junior Software Engineer

An entry-level AI and Automation Software Engineer will design, develop, and maintain automation solutions that combine robotic process automation (RPA), software engineering best practices, and AI/ML tools to streamline business processes. This role focuses on building reliable, maintainable automation and intelligent assistants under guidance, participating in requirements gathering, implementation, testing, and deployment while learning to apply ML/AI models and RPA platforms to solve real-world problems.

• Develop, test, and deploy RPA bots and automation workflows using industry-standard RPA platforms.
• Implement backend and integration code to connect automation workflows with enterprise systems (APIs, databases, web services).
• Assist in integrating AI/ML components (NLP, computer vision, classifiers, or LLM-based components) into automation solutions using our Moveworks AI Assistant development studio.
• Collaborate with business analysts and stakeholders to translate process requirements into technical specifications.
• Write clean, well-documented, and maintainable code; follow version control and CI/CD practices.
• Participate in unit, integration, and end-to-end testing of automation solutions; troubleshoot and resolve defects.
• Monitor, maintain, and optimize live enterprise assistants, bots, and AI services; log and report issues and performance metrics.
• Support development of runbooks, technical documentation, and knowledge transfer materials.
• Follow security, compliance, and data privacy guidelines when handling sensitive data in automation and AI workflows.
• Stay current with RPA and AI tooling, frameworks, and best practices; suggest improvements to automation strategies.

• Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related discipline and 0+ years of experience.
• Familiarity with at least one programming language commonly used in automation (Python, Java, C#, or JavaScript).
• Basic experience with RPA platforms (e.g., UiPath, Automation Anywhere, Blue Prism) via coursework, certification, or internships.
• Understanding of RESTful APIs, JSON/XML, and working with databases (SQL).
• Exposure to AI/ML concepts (supervised learning, NLP, embeddings, model inference) and at least one ML framework or library (scikit-learn, Tensor Flow, PyTorch, Hugging Face).
• Knowledge of software development fundamentals: version control (Git), debugging, and basic CI/CD concepts.
• Strong problem‑solving skills, attention to detail, and ability to work in a team environment.
• Good written and verbal communication skills.
• US citizenship required.

• Entry-level RPA certification (UiPath RPA Developer Foundation, Automation Anywhere Certified RPA Associate, etc.).
• Practical experience integrating LLMs or conversational AI (Moveworks, OpenAI, Anthropic, Hugging Face models) into applications.
• Experience with orchestration or workflow tools (Airflow, Kubernetes, or platform-specific orchestration).
• Familiarity with cloud platforms and services (AWS, Azure, or GCP), especially managed AI services.
• Knowledge of secure coding practices and data protection regulations (GDPR, HIPAA where applicable).
• Experience with automation monitoring, logging, and observability tools.
• Internship or project experience delivering end-to-end automation solutions in a business environment.
• Aptitude for learning new AI/automation tools quickly and documenting technical decisions.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.