AI Engineer
Job Description
Position: AI Engineer – LLMs, RAG, Agentic AI
We are hiring an AI Engineer with 1–2 years of hands-on experience in machine learning, NLP, or LLM-based projects. You will assist in developing RAG pipelines, fine-tuning models, and implementing agent workflows under the mentorship of a senior AI Lead. This role is ideal for early-career professionals looking to grow in the applied AI field.
Duties & Responsibilities
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Develop and maintain RAG pipelines using vector databases and document retrievers.
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Build and test basic agent workflows using LangChain, LangGraph, or AutoGen.
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Fine-tune and evaluate transformer models like Mistral, TinyLLaMA, or BERT.
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Assist with prompt structuring, chunking strategies, and tool-agent interactions.
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Contribute to training and validating small models with PEFT, LoRA, and open-source tools.
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Write modular Python code and document experiments via Jupyter, Git, MLFlow, or W&B.
Knowledge & Skills
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1+ years of practical experience in ML, NLP, or LLM-focused work.
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Working knowledge of transformer architectures and Hugging Face tools.
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Experience with vector databases (FAISS, Chroma, Weaviate) and RAG structures.
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Familiarity with LangChain, AutoGen, or similar frameworks.
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Strong proficiency in Python; Pydantic knowledge is a plus.
Experience
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1 to 2 years in a relevant AI/ML or NLP role, preferably involving LLMs.
Education
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Bachelor's degree in Computer Science, AI, Data Science, or related discipline.
Job Skill