GEN AI Developer

About this role

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Skills you'll use

What you'll do

• 1. Application Development: Build GenAI applications from scratch using frameworks like Autogen (applied or acquired), Crew.ai, LangGraph, LlamaIndex, and LangChain.
• 2. Python Programming: Develop high-quality, efficient, and maintainable Python code for GenAI solutions.
• 3. Large-Scale Data Handling & Architecture: Design and implement architectures for handling large-scale structured and unstructured data.
• 4. Multi-Modal LLM Applications: Familiarity with text chat completion, vision, and speech models.
• 5. Fine-tune SLM(Small Language Model) for domain specific data and use cases.
• 6. Front-End Integration: Implement user interfaces using front-end technologies like React, Streamlit, and AG Grid, ensuring seamless integration with GenAI backends.
• 7. Data Modernization and Transformation: Design and implement data modernization and transformation pipelines to support GenAI applications.
• 8. Fine-Tuning LLMs: Apply fine-tuning techniques such as PEFT, QLoRA, and LoRA to optimize LLMs for specific use cases.
• 9. LLMOps Implementation: Set up and manage LLMOps pipelines for continuous integration, deployment, and monitoring.
• 10. Responsible AI Practices: Ensure ethical AI practices are embedded in the development process.

Who can apply

• 1. Python Programming: Deep expertise in Python for building GenAI applications and automation tools.
• 2. Productionization of GenAI application beyond PoCs – Using scale frameworks and tools such as Pylint,Pyrit etc.
• 3. LLM Frameworks: Proficiency in frameworks like Autogen, Crew.ai, LangGraph, LlamaIndex, and LangChain.
• 4. Large-Scale Data Handling & Architecture: Design and implement architectures for handling large-scale structured and unstructured data.
• 5. Multi-Modal LLM Applications: Familiarity with text chat completion, vision, and speech models.
• 6. Fine-tune SLM(Small Language Model) for domain specific data and use cases.
• 7. Prompt injection fallback and RCE tools such as Pyrit and HAX toolkit etc.
• 8. Anti-hallucination and anti-gibberish tools such as Bleu etc.
• 9. Front-End Technologies: Strong knowledge of React, Streamlit, AG Grid, and JavaScript for front-end development.
• 10. Cloud Platforms: Extensive experience with Azure, GCP, and AWS for deploying and managing GenAI applications. (any two cloud exp.)

About Birlasoft

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