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This is an entry-level position designed for someone who is eager to learn about AI image generation, photography, design, and content creation within the tile and interior design industry.

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Infographic showing various Ai And Entry Level job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution.

Software Engineer - Entry Level

Tata Consultancy Services

Santa Clara, CA • On-site

Full-time

Re-posted 17 days ago


Tata Consultancy Services rating

6.5

Company rating: 6.5 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

176th of 226 rated it services


Job description

At TCS, we are at the forefront of innovation, building next-generation solutions that redefine our industry. We believe in the transformative power of artificial intelligence and are looking for bright, ambitious graduates to join our team. This is an exciting opportunity to launch your career, learn from seasoned professionals, and work with the most advanced AI technologies on the market.

Job Summary

We are seeking a motivated and curious Software Engineer who is a recent or upcoming graduate passionate about the potential of Generative AI. This is a unique entry-level opportunity to blend your academic knowledge of computer science with hands-on experience in prompt engineering and AI-assisted development. You will join a collaborative team, receive mentorship from senior engineers, and contribute to building real-world products by leveraging cutting-edge Large Language Models (LLMs) and cloud platforms. If you are eager to learn and grow in the rapidly evolving field of AI, this role is for you.

Key Responsibilities

  • Contribute to AI-Powered Features: Write, test, and debug high-quality code for new features under the guidance of senior engineers.
  • Learn Prompt Engineering: Assist the team in designing, testing, and refining prompts to interact with LLMs (like GPT-4, Claude, etc.) for tasks like code generation and problem-solving.
  • Utilize GenAI Tools: Learn to effectively use AI coding assistants (e.g., GitHub Copilot, Amazon CodeWhisperer) to enhance your productivity and learn best practices.
  • Collaborate and Learn: Work closely with product, design, and engineering teams to understand requirements and contribute to technical solutions.
  • Problem Solving: Apply your knowledge of data structures and algorithms to help solve complex challenges in a supportive team environment.
  • Cloud Exposure: Gain hands-on experience deploying and monitoring applications on modern cloud platforms like AWS and Azure.
  • Continuous Growth: Stay curious and actively learn about the latest trends, tools, and techniques in Generative AI and software development.

Required Qualifications & Skills

  • Education: Bachelor’s or Master's in degree in Computer Science, Engineering, a related technical field, or equivalent practical experience.
  • Programming Foundation: Solid understanding of at least one programming language, with a preference for Python, Java, Go, or TypeScript, demonstrated through coursework and projects.
  • Software Fundamentals: Strong grasp of core computer science concepts, including data structures, algorithms, and object-oriented design.
  • Passion for AI: A strong, demonstrable interest in Generative AI and prompt engineering, evidenced by personal projects, coursework, research, or a portfolio.
  • Eagerness to Learn: A proactive and enthusiastic attitude towards learning new technologies and tackling unfamiliar challenges.
  • Cloud Concepts: Basic familiarity with cloud computing concepts (what are AWS and Azure and what services they provide).

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