Software Engineer (AI)

• Age 24 to 32 years
• Freshers are also encouraged to apply.

Must-Have Requirements:

• Minimum 2 years of professional experience in AI/ML or data science roles focused on building and deploying AI solutions

• Proficiency in Python with a solid understanding of software engineering principles, version control (Git), and reproducibility best practices

• Practical experience with LLM customization/fine-tuning, Vector search engines and embeddings, RAG system architecture, and at least one GenAI speech or multimodal application.

• Familiarity with MLOps tools, cloud AI services, and inference pipelines

• Strong grasp of GenAI/ML fundamentals, including transformers, attention mechanisms, prompt injection risks, and safety mitigation

• Ability to communicate technical work clearly and concisely, both in code and documentation

Submission Requirement:

• You must share links to at least 3 public GenAI GitHub repositories that meet the following:

• Reproducibility: Each repository must contain a detailed README.md with a clear project objective, steps to set up the environment (requirements.txt, Docker, or conda), sample inputs/outputs, and instructions to run key pipelines or inference endpoints

• Implementation Depth: At least one project should showcase LLM fine-tuning or adaptation, at least one should involve RAG or search-augmented generation, and the third can be voice/speech GenAI, agentic AI, or any novel use case (code generation, image captioning)

• Commit History: Commits must reflect meaningful, iterative development (no single-dump codebases) with clear commit messages following best practices

• ML Model Deployment: At least one ML Model Deployment with Hugging Face (1 Repository or Hugging Face Space)