Generative AI Engineer
First seen by Alion on Sep 25, 2026.
As a Gen AI Engineer, you will be at the forefront of designing and deploying advanced artificial intelligence solutions that solve complex business challenges. You will work closely with cross-functional teams, including data scientists, product managers, and enterprise architects, to integrate Large Language Models and generative frameworks into production-grade environments. Your work will directly influence how our clients leverage data-driven insights, ensuring that our AI implementations are not only innovative but also scalable, secure, and highly impactful for end-users.
Key Responsibilities :
- Architect and implement robust Generative AI pipelines to automate complex workflows and enhance decision-making processes for enterprise clients.
- Develop and fine-tune Large Language Models (LLMs) to ensure high performance and domain-specific accuracy across various business applications.
- Build and optimize Retrieval-Augmented Generation (RAG) systems to improve the relevance and context-awareness of AI-generated outputs.
- Manage the end-to-end lifecycle of machine learning models, from data ingestion and preprocessing to deployment and continuous monitoring.
- Collaborate with engineering teams to containerize and orchestrate AI services using Docker and Kubernetes, ensuring seamless integration into existing cloud infrastructures.
- Evaluate and integrate Vector Databases to facilitate efficient information retrieval and long-term memory capabilities for AI agents.
Required Skillset :
- Demonstrated expertise in Python and deep learning frameworks such as PyTorch and TensorFlow to build and scale sophisticated AI models.
- Proven ability to design and maintain RAG architectures and interact with VectorDBs to support high-performance search and retrieval tasks.
- Strong understanding of LLM orchestration and the ability to translate business requirements into technical AI specifications.
- Proficiency in containerization and orchestration tools including Docker and Kubernetes to ensure reliable model deployment in production environments.
- Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders and cross-functional partners.
- A minimum of 5 to 11 years of professional experience in machine learning and AI engineering, with a track record of delivering production-ready solutions.
- Ability to thrive in a collaborative, hybrid work environment across our Chennai, Bangalore, or Pune offices, maintaining high standards of engineering rigor and agility.
Skills
Generative AI, PyTorch, Tensorflow, Artificial Intelligence, Python, Machine Learning, LLM, RAG, VectorDB