
Artificial Intelligence Engineer
3 days ago
Shift Timings - 1pm to 10pm or 3pm to 12am
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
· 3–5 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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