Artificial Intelligence Engineer
3 days ago
What you will be doing :
- Design, build, and deploy LLM-driven applications (e.g., document summarization, RAG-based QA, chatbots).
- Work with open-source LLMs using platforms like Ollama and Hugging Face.
- Implement LangChain and LangGraph workflows for multi-step, multi-agent task resolution.
- Build and optimize RAG (Retrieval-Augmented Generation) systems using vector databases.
- Collaborate with cross-functional teams to ship features to production.
- Stay up-to-date with the latest in open-source LLMs, model optimization (LoRA, quantization), and multi-modal AI.
Required Skills :
years of hands-on experience in AI/ML engineering.
- Proficient in Python, PyTorch, and Hugging Face Transformers.
- Proven experience with LangChain and LangGraph for LLM workflows.
- Familiarity with Ollama, Mistral, LLaMA, or similar open-source LLMs.
- Experience working with vector stores (Qdrant, Pinecone, Weaviate, FAISS).
- Skilled in backend integration using FastAPI, Docker, and cloud platforms.
- Solid grasp of NLP, LLM reasoning, prompt engineering, and document parsing.
Nice-to-Have :
- Experience with LangServe, OpenAI tool/function calling, or agent orchestration.
- Background in multi-modal AI (e.g., image text analysis).
- Familiarity with MLOps tools (MLflow, Weights & Biases, Airflow).
- Contributions to open-source GenAI projects.
- Understanding of LLM safety, security, and alignment principles.
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