AI/ML Engineer
First seen by Alion on Aug 26, 2026.
Role Overview :
We are looking for an AI/ML Engineer with 4+ years of experience, including 3+ years of hands-on experience in Agentic AI OR LLM/Generative AI.
The engineer will work with technical and project teams to design, develop, integrate, and deploy AI/ML solutions. The role requires strong Python and software engineering skills, along with practical experience building AI-powered applications.
Key Responsibilities :
- Design and develop AI/ML solutions and applications using Python.
- Build and integrate LLM/Generative AI applications or AI agent solutions based on project requirements.
- Develop RAG-based applications, prompt workflows, and LLM integrations where required.
- Build AI agents using frameworks such as LangGraph, LangChain, CrewAI, AutoGen, or PydanticAI.
- Integrate AI solutions with REST APIs, databases, and existing enterprise applications.
- Develop and maintain scalable AI services using FastAPI or similar frameworks.
- Deploy and support AI/ML applications on Azure and/or Databricks.
- Work with development and platform teams on CI/CD, testing, deployment, monitoring, and production support.
- Maintain clean, reusable, and well-documented code using Git and standard development practices.
- Understand project requirements and work with technical teams to deliver practical AI solutions.
Required Skills :
- 4+ years of experience in AI/ML, Machine Learning, Artificial Intelligence, or related software engineering roles.
- 3+ years of hands-on experience in Agentic AI OR LLM/Generative AI.
- Strong Python development experience.
- Practical experience with LLMs, RAG, prompt engineering, or AI agents.
- Experience with at least one framework such as LangGraph, LangChain, CrewAI, AutoGen, or PydanticAI.
- Experience with REST APIs and application integration.
- Familiarity with Azure and/or Databricks.
- Experience with Git and CI/CD practices.
- Good communication and problem-solving skills.
Good to Have :
- Experience with both Agentic AI and LLM/Generative AI.
- Exposure to MLOps/LLMOps and AI application monitoring.
- Experience with Azure OpenAI, Azure AI Search, vector databases, MLflow, or LangSmith.
- Familiarity with Docker, Kubernetes, or event-driven architectures.
- Experience using AI-assisted development tools such as GitHub Copilot, Windsurf, or Codeium.
Education : Bachelor's or master's degree in computer science, AI/ML, Data Science, Engineering, or a related technical field.
Skills
Artificial Intelligence, Machine Learning, LLM, Generative AI, RAG, LangChain, LangGraph, Agentic AI, Prompt Engineering, Azure, MLOps