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Salary
≈ $19k – $45k per year (Estimated)
Location
In office (Hyderabad, Bengaluru)
Seniority
Middle · 3+ years exp

First seen by Alion on Sep 4, 2026.

Overview
Company
Impact
Profile match
MOURI Tech is an enterprise IT solutions and consulting company headquartered in Irving, Texas, in the Dallas area, delivering SAP, Oracle, Microsoft, ServiceNow and Salesforce implementations, data and analytics, AI, application development, quality engineering and managed services. Founded in 2005, it serves Fortune 500 and other large enterprises in manufacturing, retail, healthcare and finance, with its main delivery centers in India run by MOURI Tech Limited of Hyderabad. It hires SAP functional and technical consultants, data engineers, BI and Power BI developers, .NET and Python full stack developers and AI engineers.

Job Summary :

We are looking for a passionate and experienced Generative AI Engineer to join our team in building innovative AI-powered solutions using cutting-edge technologies such as LLMs, diffusion models, transformers, and other generative models. This is a hands-on engineering role that requires expertise in deep learning, natural language processing, and scalable machine learning systems.


Key Responsibilities :

- Design, develop, and deploy applications and APIs powered by generative AI models (e.g., GPT, LLaMA, Claude, DALLE, Stable Diffusion).


- Fine-tune and optimize large language models (LLMs) and other generative models for specific business use cases.


- Collaborate with cross-functional teams including product, design, and data science to identify opportunities for GenAI integration.


- Evaluate and benchmark open-source and commercial GenAI models.


- Ensure robust testing, monitoring, and performance tuning of deployed models.


- Stay up to date with the latest research and advancements in generative AI and machine learning.


Required Skills & Qualifications :

- 35+ years of experience in AI/ML engineering, with a strong focus on deep learning and NLP.


- Proficiency in Python and machine learning libraries such as PyTorch, TensorFlow, Hugging Face Transformers.


- Experience working with LLMs, diffusion models, or multimodal models (e.g., text-to-image, text-to-audio).


- Strong understanding of prompt engineering, fine-tuning, and model evaluation techniques.


- Experience with cloud platforms (AWS, GCP, Azure) and MLOps pipelines.


- Solid understanding of data privacy, bias, and ethical considerations in AI systems.


Preferred Qualifications :


- Experience with vector databases (e.g., Pinecone, Weaviate, FAISS) and retrieval-augmented generation (RAG) pipelines.


- Knowledge of LangChain, LLM orchestration frameworks, or chatbot frameworks.


- Contributions to open-source AI projects or published research papers.


- Familiarity with Reinforcement Learning with Human Feedback (RLHF).


Skills

Generative AI, LLM, Deep Learning, NLP, Machine Learning, GPT, Python, Tensorflow, Prompt Engineering

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