Data Science GenAI Engineer
About the Role
We are seeking a highly skilled GenAI Engineer to design, build, and deploy generative AI–powered solutions that solve real-world business problems. The ideal candidate has strong software engineering fundamentals combined with hands-on experience in Large Language Models (LLMs), prompt engineering, and AI application development at scale.
Key Skills for This Role
Full Job Posting
Qualifications
- Experience in RAG based applications using LangGraph and FastAPI.
- Familiarity with MLOps practices (CI/CD for ML, model versioning, monitoring).
- Knowledge of NLP concepts such as embeddings, transformers, and tokenization.
Responsibilities
- Design, develop, and deploy Generative AI applications using LLMs (e.g., GPT-based, open-source models).
- Build and optimize prompt engineering, RAG (Retrieval-Augmented Generation), and fine-tuning pipelines.
- Integrate GenAI models into production systems using APIs, microservices, and cloud platforms.
- Collaborate with product managers, data scientists, and backend engineers to translate business needs into AI-driven solutions.
- Evaluate model performance, mitigate hallucinations, and improve accuracy, safety, and latency.
- Implement monitoring, logging, and feedback loops for continuous model improvement.
- Stay current with emerging GenAI frameworks, tools, and best practices.
- Ensure compliance with security, privacy, and responsible AI guidelines.
About EXL
EXL is a global data and AI company that provides analytics, digital operations, and industry-specific services to enterprises in insurance, healthcare, banking, retail, media, and energy.
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