Posted:16 hours ago|
Platform:
Work from Office
Full Time
About the Role
Were building a high-performance chat platform and seeking an AI/GenAI Engineer to lead the integration and optimization of Large Language Models (LLMs). Youll design intelligent chat pipelines, fine-tune models for domain use cases, and collaborate with our React and Python teams to deliver real-time, high-quality AI experiences at scale.
Key Responsibilities
Integrate and optimize LLM APIs (OpenAI, Claude, Gemini, open-source models).
Design robust API wrappers, handle streaming, rate limiting, and error recovery.
Implement RAG pipelines with vector databases (Pinecone, Weaviate, Qdrant, etc.).
Develop prompt engineering, fine-tuning (LoRA/QLoRA), and domain adaptation strategies.
Optimize latency, caching, and token usage; build fallback chains for reliability.
Implement safety guardrails, moderation filters, and evaluation frameworks.
Deploy scalable infrastructure for concurrent AI interactions with monitoring and logging.
Required Skills & Experience
Hands-on experience with LLMs and GenAI (OpenAI, Claude, Gemini, etc.).
Strong in Python, especially FastAPI, LangChain, LlamaIndex.
Experience with RAG, vector databases, prompt tuning, and fine-tuning (LoRA/PEFT).
Familiar with embedding models, semantic search, and function calling/tool use.
Solid understanding of transformer models, inference frameworks (vLLM/TGI), and API integration.
Exposure to MLOps tools (W&B, MLflow) and cloud platforms (AWS/GCP/Azure).
Tech Stack
Python, FastAPI, LangChain, LlamaIndex, OpenAI/Claude/Gemini APIs, Pinecone/Weaviate/Qdrant, Redis, Docker, PostgreSQL, AWS/GCP/Azure.
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