Hybrid Role - Onsite at Bangalore or Chennai

Fulltime, Permanent

About the Role:

At C4Scale, we are seeking passionate engineers to this role that will focus on the design, development, fine-tune and optimization of Generative AI LLM Models & applications, leveraging cutting-edge technologies to solve real-world problems.

• You will play a key part in building GenAI-driven products with a #YC-funded company

• You will work smart engineers that are building SOTA technologies to deliver APIs/data in millisecond latencies.

What You Will Do:

• Fine-tune large language models (LLMs) on code and text datasets to optimize performance for specific use cases and applications.

• Develop and deploy LLM-based and NLP applications leveraging state-of-the-art AI/ML technologies.

• Design and maintain scalable Python API backends to serve models in production environments, ensuring high performance, scalability, security, and reliability.

• Conduct experiments to improve model accuracy, efficiency, and latency through hyperparameter tuning, optimization techniques, and advanced training strategies.

• Collaborate with product teams to align AI capabilities with business goals.

• Monitor, evaluate, and fine-tune deployed models to ensure they meet KPIs and deliver an excellent user experience.

• Stay updated on advancements in AI/ML, Generative AI, and related fields to incorporate new techniques and tools into the development process.

What You Will Need:

• You must have a minimum of 4 years of overall experience of which a minimum of 1 or more projects involved in fine-tuning models

• Strong experience building domain-specific LLMs with fine-tuning and deploying large language models like GPT, LLaMA, Mistral, T5, or similar.

• Proficiency in Python and experience with frameworks like PyTorch or TensorFlow for AI/ML development.

• Proficiency in Retrieval-Augmented Generation (RAG) solutions with vector databases (e.g., Pinecone, ChromaDB), frameworks like LangChain, LlamaIndex, and agentic frameworks like Langflow or Crew AI for automation tasks.

• Expertise in building and managing APIs using Python-based frameworks such as FastAPI, Flask, or Django.

Preferred Qualifications / Added Advantage:

• Solid understanding of transformer architectures and knowledge of pre-training, fine-tuning, and transfer learning methodologies.

• A proactive approach to solving complex problems, coupled with excellent collaboration and communication skills.

• Understanding of containerization and orchestration technologies (Docker, Kubernetes).

• Knowledge in any of cloud platforms (AWS, GCP, Azure) and MLOps tools for managing AI/ML workloads in production.

What We Offer:

• MacOS Laptop.

• Competitive salary and benefits package.

• Opportunity to work on cutting-edge technologies and challenging projects.

• Collaborative and inclusive work environment.

• Continuous learning and professional development opportunities.