Senior AI Engineer
First seen by Alion on Oct 22, 2026.
Job Summary :
We are looking for a skilled Senior AI Engineer with 4-9 years of experience in GenAI core skills including RAG pipelines, Langchain, Agentic AI frameworks, Python, FastAPI, and Azure AI services.
What you will do :
- Design, develop, and deploy scalable GenAI solutions using LLMs, RAG architectures, and Azure cloud.
- Lead the development and implementation of LLM- and RAG-based applications, ensuring adherence to ML and DL best practices.
- Build and maintain AI pipelines including data cleaning, pre-processing, feature engineering, training, validation, and inference.
- Design and optimize Retrieval-Augmented Generation (RAG) workflows using vector databases (e.g., FAISS, Azure AI Search, Weaviate).
- Deploy GenAI solutions using Azure OpenAI, Blob Storage, Cosmos DB, Key Vault, and Azure Container Apps.
- Evaluate model performance and factuality using RAGAS, and apply iterative improvements.
- Use orchestration frameworks such as LangChain, LangGraph, or AutoGen for scalable and modular GenAI workflows.
- Collaborate with DevOps and infrastructure teams for deployment, monitoring, and logging of AI systems.
- Conduct code reviews, mentor junior developers, and promote clean, maintainable code.
- Document AI architecture, pipelines, and decisions to support transparency and knowledge sharing.
Tech Stack :
Python, Transformers, Azure OpenAI, Weaviate/Azure AI Search, RAGAS, LangChain, Cosmos DB, FastAPI, containerization, and prompt engineering.
Requirements :
- 2+ years of experience in GenAI core skills (RAG, Langchain, Agentic AI).
- 3-5 years of experience in Python.
- 2-3 years of experience in API creation using FastAPI.
- 1-2 years of experience in Azure AI services.
Skills
Generative AI, Python, LangChain, RAG, Agentic AI, Cosmos DB, Artificial Intelligence, Azure