Gen AI Engineer
EXL (company site, opens in a new tab)3–6 yrsBengaluruOn-siteDirect career pageEst. 12–25 LPA
Posted on 9 Sept
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Job description
Structured overview of role & requirements
About This Role
- Own and manage end-to-end production pipelines for Generative AI models, including debugging and root cause analysis.
- Design and build LLM-based workflows using frameworks like LangChain, including prompt engineering and pipeline orchestration.
- Implement Retrieval-Augmented Generation (RAG) architectures using vector databases such as Pinecone and handle unstructured document ingestion and extraction workflows.
Minimum Requirements
- 3-6 years of experience in data science, applied machine learning, or Generative AI roles.
- Bachelor’s or Master’s degree in Data Science, Computer Science, AI/ML, Statistics, Mathematics, or related field.
- Hands-on experience with machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch.
- Practical experience with LLMs, GenAI frameworks, LangChain, prompt engineering, RAG architectures, and vector databases like Pinecone.
Ideal Candidate Profile
- Experienced in managing complex GenAI workflows and production pipelines with measurable impact.
- Strong technical expertise in LLMs, prompt engineering, and vector database utilization for semantic search and contextual data retrieval.
- Able to work cross-functionally to align technical solutions with business needs and mentor junior team members.