Experience:

• 8+ years of IT experience
• 6+ years in data science
• 2+ years in Agentic AI
• Proven experience designing, pretraining, and fine-tuning large-scale LLMs
• Experience deploying multiple solutions in production using unstructured data

Qualification:

• B.E./B.Tech/M.Tech/MCA in Computer Science, Electronics & Communication, or related field
• Master's degree in Computer Science, AI, Deep Learning, or NLP highly preferred
• Domain knowledge in Semiconductor / Manufacturing

Responsibilities:

• Design, prototype, develop, and debug software solutions for semiconductor equipment components
• Develop software documentation and test procedures
• Troubleshoot software problems
• Communicate with internal customers to understand project requirements
• Contribute expertise in intricate systems and software behavior anticipation

Additional responsibilities:

• Collaborate across cross-functional teams
• Mentor junior members
• Drive multiple initiatives
• Present solutions at large forums
• Travel 10% of the time
• Relocation eligible

Nice to have:

• Experience with LLM orchestration frameworks such as LangGraph, LangChain, or LlamaIndex
• Experience with agentic workflows, RAG pipelines, multi-agent system design, MCP, Azure Foundry
• Proficiency in AI-assisted coding tools like Claude Code, GitHub Copilot
• Exposure to computer vision or multimodal models

More skills:

Python programming, TensorFlow, PyTorch, Keras, Transformer architectures (BERT, GPT, LLaMA), Fine-tuning techniques (SFT, LoRA, adapters, prompt engineering), Deep learning frameworks, Reinforcement learning, Databricks, MLflow, Delta Lake, MLOps best practices, CI/CD, Model versioning, Data preprocessing, Handling large-scale text, image, multimodal datasets, Cloud platforms, Azure ecosystem, UNIX/Linux environments, Command-line scripting

Other:

• Supportive work culture encouraging learning and career growth
• Commitment to employee health and wellbeing
• Full time, regular employee type
• Equal Opportunity Employer