PAC Panasonic Avionics Corporation Off Campus Drive 2026 Hiring AI Software Engineer Intern/Trainee. The Masters graduate of engineering or Science in Computer, IT AI/ML can apply for the opening in Pune.
Panasonic Recruitment Drive 2026 – Description
Role – AI Software Engineer
Experience : Freshers / Students
Location : Pune
Qualification : M.Tech or MS in Computer Science, Artificial Intelligence, Machine Learning or Data Science.
Batch : 2026/2027 or any
Latest Off Campus Drive, Check Here….
Job Description :
As an AI Software Engineer Intern, you will work closely with experienced AI and software engineers to design, develop, and support AI-powered applications. You will gain hands-on exposure to Generative AI, Retrieval-Augmented Generation (RAG), AI Agents, Machine Learning, and AWS cloud services while contributing to real-world AI platforms and solutions.
This internship offers a strong learning environment with mentorship, practical experience in modern AI engineering practices, and the potential to convert into a full-time role based on performance.
The opportunity:
- Hands-on exposure to enterprise AI application development and MLOps practices
- Mentorship from senior AI and software engineers
- Opportunity to work on real production-oriented AI solutions
- High-performing interns will be considered for conversion into a full-time AI Software Engineer position.
Responsibilities
- Assist in developing AI applications using RAG, conversational AI, AI Agents, and backend APIs on AWS
- Support the building, testing, and evaluation of machine learning models (e.g., regression, classification, time series) and contribute to MLOps workflows
- Participate in code reviews, debugging, model evaluation, CI/CD processes, and performance improvement activities
- Collaborate in Agile ceremonies and help document AI solutions, experiments, and technical designs
Qualifications
- Proficiency in Python and at least one additional programming language (Java, C++, or JavaScript).
- Understanding of software engineering, object-oriented programming, data structures, and algorithms.
- Basic to intermediate knowledge of Generative AI concepts, including LLMs, Prompt Engineering, RAG, AI Agents, and vector databases.
- Foundational Understanding of Machine Learning fundamentals, including Linear Regression, Classification, Time Series Analysis, model evaluation, and feature engineering.
- Familiarity with AWS services (S3, Lambda, ECS/EKS, Bedrock, SageMaker, API Gateway, DynamoDB/RDS) and REST APIs.
- Knowledge of Git, CI/CD, SQL, and strong analytical/problem-solving skills
- M.Tech or MS in Computer Science, Artificial Intelligence, Machine Learning or Data Science.
How To Apply ::
The intrested and eligible graduates can apply for the application on the following registration link.
