- Design and develop Agentic AI workflows using LLMs.
- Build AI applications using LangChain and LlamaIndex.
- Develop REST APIs using FastAPI, Django, Flask, or similar frameworks.
- Implement Retrieval-Augmented Generation (RAG) pipelines.
- Build and optimize Machine Learning models.
- Develop secure web applications and backend services.
- Work with SQL and NoSQL databases.
- Containerize applications using Docker and Kubernetes.
- Support cloud deployment on AWS.
- Participate in Agile software development and CI/CD processes.
- Python Programming
- Machine Learning fundamentals
- Data Structures & Algorithms
- TensorFlow / PyTorch / Scikit-learn
- Pandas & NumPy
- REST APIs
- SQL & Databases
- Git & GitHub
- HTML & CSS
- NLP and Large Language Models (LLMs)
- Problem-solving and analytical thinking
- Bachelor's Degree in: Computer Science, Artificial Intelligence, Machine Learning, Data Science, Information Technology or Related Engineering disciplines
- Freshers or candidates with up to 1 year of experience can apply.
- Strong programming fundamentals and passion for AI technologies.
- Work on cutting-edge AI and LLM technologies.
- Learn from experienced AI engineers.
- Exposure to global automotive software projects.
- Professional learning and career development.
- Competitive salary and benefits.
- Collaborative engineering culture.
- Opportunity to work with advanced cloud and AI platforms.
- Machine Learning & Artificial Intelligence
- Selection Process
- The hiring process may include:
- Online Application
- Resume Screening
- Technical Assessment
- Technical Interview
- HR Interview
- Offer Rollout
- Top 100 Most Repeated Software Engineer Interview Q & A 2026
How to Apply Click on the Below link, it will redirect you to source Page and apply there.


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