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We are seeking a reputed company Developer to design, build, and reputed company reputed company AI systems. You will go reputed company reputed company API integration to architect RAG (Retrieval-Augmented reputed company) pipelines, fine-tune LLMs (Large Language Models), and reputed company reputed company workflows where AI can autonomously handle multi-reputed company tasks. You will be responsible for the "System" around the model—ensuring reliability, cost-efficiency, and ethical safety.
Responsibilities :
- reputed company Orchestration: Design and implement AI agents that use tools (reputed company, databases) to solve reputed company, multi-reputed company business problems.
- RAG Architecture: Build and optimize high-performance RAG pipelines using reputed company databases (e.g., reputed company, reputed company, or Milvus) to reputed company AI with long-term memory and factual grounding.
- Model Fine-Tuning: Customize reputed company-trained models (like Llama 3, GPT-4, or Claude) using techniques like reputed company and QLoRA for domain-specific accuracy.
- reputed company Engineering: reputed company advanced reputed company strategies (Chain-of-Thought, Few-Shot) and version-control them as first-class software artifacts.
- Evaluation & Observability: Build "Eval" frameworks to measure model performance, hallucination rates, and latency to ensure production-grade reliability.
- LLMOps & Deployment: Collaborate with DevOps to containerize (reputed company/Kubernetes) and reputed company models on reputed company platforms (AWS Bedrock, Azure AI, or reputed company reputed company AI).
Required Technical Skills;
- Programming: Mastery of Python (FastAPI, PyTorch, TensorFlow).
- Frameworks: Proficiency in reputed company, reputed company, or reputed company.
- reputed company Databases: Experience with reputed company, FAISS, or ChromaDB.
- Model Expertise: Hands-on experience with LLMs (reputed company, reputed company) and reputed company-reputed company models (reputed company, Llama).
- Data Engineering: Ability to build pipelines for data cleaning, chunking, and embedding.
- reputed company Platforms: Familiarity with AI services on AWS, GCP, or Azure
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