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Senior AI Engineer - LLM/Generative AI

MOURI TECH LIMITED
Anywhere in India/Multiple Locations
6 - 10 Years

Posted on: 13/03/2026

Job Description

Description :


Job Title : Senior AI Engineer


Role Summary :


The Senior AI Engineer will be responsible for designing, developing, and deploying AI-driven automation solutions for SBD. The role focuses on automating infra support processes, improving system reliability, reducing manual effort, and enabling proactive and self-healing infrastructure operations.


AI & Machine Learning Development :


- Design, train, fine-tune, and deploy machine learning and deep learning models


- Develop LLM-based applications using models like GPT, Claude, LLaMA, Mistral, etc.


- Build RAG (Retrieval Augmented Generation) pipelines using vector databases


- Develop and orchestrate multi-agent AI systems for automation and decision-making


- Implement prompt engineering, evaluation, and optimization frameworks


Architecture & Engineering :


- Design end-to-end AI architectures (data, model, API, application)


- Build scalable inference pipelines and APIs using FastAPI, Flask, or similar


- Integrate AI services with enterprise systems (ERP, CRM, data platforms)


- Optimize model latency, cost, and performance for production workloads


Data & Model Operations (MLOps / LLMOps) :


- Build training, fine-tuning, and deployment pipelines


- Implement model monitoring, drift detection, logging, and retraining


- Use CI/CD for AI models and pipelines


- Ensure data governance, security, and compliance


Leadership & Collaboration :


- Mentor junior engineers and data scientists


- Provide architectural guidance for AI initiatives


- Work with business teams to convert use cases into AI solutions


- Contribute to AI best practices, standards, and reusable frameworks


Required Skills :


Core Technical Skills :


- Strong programming in Python (PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex)


- Hands-on experience with LLMs and Generative AI


- Experience building RAG systems, embeddings, and vector search


- Knowledge of ML algorithms, NLP, deep learning, and transformers


- API development using FastAPI, Flask, or similar


- Strong understanding of data structures, algorithms, and system design


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