Senior AI Engineer - Generative AI/Agentic AI
First seen by Alion on Oct 23, 2026.
Senior Engineer - AI
Experience : 5+ Years
Job Overview :
We are looking for a Senior AI Engineer with strong expertise in machine learning, natural language processing, Generative AI, and Agentic AI.
The role involves designing, developing, and deploying machine learning models and AI-powered applications, along with implementing MLOps practices to support model deployment, monitoring, and maintenance.
Key Responsibilities :
- Design, develop, and optimize machine learning models for applications across different domains.
- Apply supervised and unsupervised learning, deep learning, reinforcement learning, and other machine learning techniques.
- Develop NLP pipelines for language modelling, text generation, summarization, translation, and sentiment analysis.
- Build and deploy Generative AI applications, including conversational AI, text generation, and image synthesis.
- Develop real-world applications using Agentic AI frameworks such as LangGraph, ADK, and AutoGen.
- Implement MLOps practices covering model training, evaluation, deployment, monitoring, and maintenance.
- Process data, perform feature engineering, and train models on large datasets.
- Deploy scalable machine learning solutions using cloud platforms such as AWS, GCP, or Azure.
- Apply responsible AI practices, model governance, and risk mitigation measures.
- Follow software engineering best practices when developing and maintaining machine learning systems.
Required Skills and Qualifications :
- Minimum 5 years of experience in machine learning engineering and AI development.
- Strong knowledge of machine learning algorithms, including supervised learning, unsupervised learning, deep learning, and reinforcement learning.
- Solid experience in Natural Language Processing (NLP), including language models, text generation, and sentiment analysis.
- Strong understanding of Generative AI concepts, including transformers, diffusion models, and text, image, and audio synthesis.
- Hands-on experience developing and deploying Generative AI and Agentic AI applications.
- Experience with Agentic AI frameworks such as LangGraph, ADK, or AutoGen.
- Proficiency in Python and machine learning frameworks such as TensorFlow and PyTorch.
- Experience with MLOps and machine learning model deployment pipelines.
- Knowledge of cloud platforms such as AWS, GCP, or Azure.
- Experience with data processing, feature engineering, and model training on large datasets.
- Familiarity with responsible AI, AI ethics, model governance, and risk mitigation.
- Understanding of software engineering best practices for machine learning systems
Skills
Artificial Intelligence, Machine Learning, Python, Generative AI, NLP, Tensorflow, PyTorch, Agentic AI, LangGraph, MLOps