Highlights
Hands-on experience, real-world scenarios, cutting-edge AI tools, fast-paced environment.
Description
Job Summary
pJoin our Sustaining Engineering team at Automation Anywhere as a Junior AI/ML Engineer. You will play a pivotal role in solving real-world technical challenges and building intelligent tools to enhance developer productivity and operational efficiency.
Responsibilities
- Analyze and troubleshoot customer-reported issues in production environments.
- Develop AI-driven solutions for log analysis, code understanding, and troubleshooting copilots.
- Create automated workflows to improve engineering productivity and reduce manual effort.
- Collaborate with cross-functional teams to deliver fast, reliable resolutions.
Required Skills
- Python programming
- ML/AI libraries (TensorFlow, PyTorch)
- Distributed systems basics
- Git and CI/CD practices
- REST APIs and databases
Required Skills Explained
- 2-3 years of professional experience in product development
- Solid foundation in Python, with experience in ML/AI libraries such as TensorFlow, PyTorch, Scikit-learn or Transformers-based frameworks.
- Good understanding of software engineering concepts: debugging, logging, REST APIs, distributed systems basics.
- Familiarity with web application architecture, APIs, and databases
- Familiarity with LLMs, prompt engineering, RAG systems, or agentic workflows is a strong plus.
- Basic knowledge of cloud platforms (AWS, Azure or GCP).
- Experience with Git, CI/CD, and modern engineering practices.
- Strong programming skills with experience debugging and fixing production code
- Demonstrated ability to troubleshoot complex technical issues systematically
- Experience working with version control systems (Git) and creating pull requests
Who is this for
pEarly-career engineers with a passion for solving complex technical challenges and building intelligent tools. This role is perfect for those who thrive on customer success and problem-solving.
Why This Job is a Good Opportunity
ulliMake a direct impact on customer satisfaction and product quality.liWork with cutting-edge AI-powered tools for observability and troubleshooting.liHands-on experience building meaningful internal tools that significantly impact engineering efficiency.liA fast-paced environment to grow your AI engineering skills while developing strong debugging and product-understanding foundations.liCollaborate with talented engineers across Support, CloudOps, Product, and Engineering.liGrow your skills across the full stack while developing deep expertise in production systems.
Interview Preparation Tips
- Prepare examples of how you have used Python and AI libraries in previous projects or internships.
- Discuss your experience with software engineering concepts like debugging, logging, and REST APIs.
- PRACTICE technical troubleshooting by simulating common production issues in a test environment.
- Be ready to explain complex technical solutions using simple terms for non-technical stakeholders.
- Research the company's products and culture to demonstrate your alignment with their values.
- Showcase any relevant experience with cloud platforms or distributed systems.
Career Growth in This Role
pThis role offers significant opportunities for career growth as it combines technical expertise with customer support, driving both product quality and customer satisfaction. As a Junior AI/ML Engineer, you will contribute to the development of innovative tools that enhance engineering workflows and improve operational efficiency. Over time, you can advance into more specialized roles within the field of AI or move towards leadership positions in engineering, leading teams through complex technical challenges.pWith each project and customer interaction, your skills in problem-solving, debugging, and automation will continue to grow. The company's culture of continuous improvement and learning fosters an environment where you can develop new competencies and take on more responsibilities. This role is ideal for early-career engineers who are eager to make a significant impact in the AI and automation space.
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Skills
Frequently Asked Questions
What programming languages are required?Python and ML/AI libraries such as TensorFlow or PyTorch.
Is experience with cloud platforms necessary?Basic familiarity with AWS, Azure, or GCP is beneficial but not mandatory.
What kind of support will I get for learning and development?We offer continuous training and mentorship to help you grow your skills in AI engineering.
