Valeo is hiring an Software Intern for the Chennai location. Please read the complete information carefully and apply if you are eligible.

Eligibility Criteria :

• Qualification: Bachelor’s or Master's degree in Computer Science, Electrical Engineering, Electronics Engineering, or a related field.

• Experience:  Students

• Skills: Knowledge of programming concepts and data structures

Responsibilities:

• Assist in the design, development, and testing of software components for various automotive systems.
• Write and maintain clean, efficient, and well-documented code in languages such as C, C++, Python, or Java.
• Participate in code reviews and contribute to improving software quality and best practices.
• Support the integration and debugging of software modules.
• Conduct research and analyze technical specifications and requirements.
• Collaborate with cross-functional teams to understand project needs and deliver solutions.
• Document technical processes, designs, and test results.
• Learn and apply new technologies and tools relevant to embedded systems and automotive software.

Required Skills:

• Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Electronics Engineering, or a related field.
• Strong foundational knowledge of programming concepts and data structures.
• Proficiency in at least one programming language (e.g., C, C++, Python, Java).
• Understanding of software development lifecycle (SDLC) principles.
• Excellent problem-solving and analytical skills.
• Strong communication and interpersonal skills, with the ability to work effectively in a team environment.
• Eagerness to learn and a proactive attitude.
• Prior experience with embedded systems or automotive software is a plus but not required.

Stipend: ₹25,000 – ₹35,000 per month(Glassdoor)

Apply here

Valeo is hiring an AI Intern for the Chennai location. Please read the complete information carefully and apply if you are eligible.

Eligibility Criteria :

• Qualification: Bachelor’s degree in Computer Science, AI/ML, Data Science, or equivalent

• Experience:  Students/ Freshers  

• Duration: 11 Months

Responsibilities:

• Develop and fine-tune prompt chains for chatbot and content generation workflows using Vertex AI / Gemini APIs
• Assist in implementing Retrieval-Augmented Generation (RAG) pipelines to ground LLM outputs on company data
• Support flowchart and structured table generation using AI (e.g., diagrams.net JSON or Mermaid format)
• Automate data and prompt workflows using N8N or similar no-code/low-code orchestration tools
• Work with structured (tables, JSON) and unstructured (text, PDF) content formats
• Contribute to basic evaluations and improvements of chatbot responses
• Document your work, findings, and results for reproducibility and future scaling

Required Skills:

• Basic programming knowledge in Python
• Understanding of prompt engineering and generative AI concepts
• Exposure to LLMs (like Gemini, Claude, GPT-4) for chatbot and content generation
• Practical experience or coursework with TensorFlow or PyTorch
• Ability to work with structured data (e.g., tables in pandas, JSON, CSV)
• Strong curiosity, willingness to learn, and ability to take initiative

Nice to have:

• Experience with RAG (Retrieval-Augmented Generation) using tools like LangChain or LlamaIndex
• Exposure to Agentic AI frameworks (e.g., OpenAI agents, CrewAI, LangGraph) for tool-assisted task handling
• Familiarity with Mermaid.js or diagrams.net JSON format for flowchart generation
• Familiarity with Google Cloud Platform (GCP) services like Vertex AI, BigQuery, Cloud Storage
• Workflow automation experience with N8N, Zapier, or Cloud Workflows
• Basic front-end integration using Streamlit or React (optional)

What You’ll learn:

• Practical implementation of LLM pipelines in a real-world business environment
• How to design and evaluate prompt flows for accuracy and usability
• Structured document and flowchart generation using generative models
• Real-world exposure to AI/ML projects using cutting-edge GCP tools
• Opportunity to contribute to scalable and production-grade AI systems

Stipend: ₹25,000 – ₹35,000 per month(Glassdoor)

Apply here