Artificial Intelligence (AI) Engineer
Shift Timings - 1pm to 10pm or 3pm to 12am
Design, build, and deploy LLM-driven applications (e.g., 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.
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.
- 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.
Experience with LangServe, OpenAI tool/function calling, or agent orchestration.
- Background in multi-modal AI (e.g., image + text analysis).
- Contributions to open-source GenAI projects.
- Understanding of LLM safety, security, and alignment principles.
Vacancy posted 1 day ago
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