Artificial Intelligence Engineer

2 days ago


Gandhinagar, India TalentBridge Full time

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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