Gen AI Engineer
EXL (company site, opens in a new tab)3–6 yrsPuneHybridDirect career pageEst. 12–22 LPA
Posted on 9 Sept
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Job description
Structured overview of role & requirements
About This Role
- Own management and debugging of production GenAI model pipelines with root cause analysis.
- Design and build LLM-based workflows and Retrieval-Augmented Generation architectures using LangChain and vector databases like Pinecone.
- Handle document ingestion and unstructured data extraction workflows using tools like AWS Extract and GenAI techniques.
Minimum Requirements
- 3–6 years of experience in data science, applied ML, or GenAI roles with a strong project portfolio.
- Bachelor’s or Master’s degree in Data Science, Computer Science, AI/ML, Statistics, Mathematics, or related fields.
- Proficiency with machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch.
- Hands-on experience with LLMs, Generative AI frameworks, LangChain, prompt engineering, and practical knowledge of RAG patterns with vector embeddings and vector DBs like Pinecone.
Ideal Candidate Profile
- Experienced in developing scalable, production-grade Generative AI systems and managing complex AI workflows.
- Demonstrates strong analytical and technical skills in both AI model pipelines and unstructured data processing.
- Comfortable collaborating with cross-functional teams and communicating technical insights to diverse stakeholders.