Full Stack AI Engineer
First seen by Alion on Sep 16, 2026.
Role Involves :
We are looking for a hands-on Full Stack AI Engineer with strong software engineering skills and practical experience building Generative AI/LLM-powered applications.
The ideal candidate will have experience across backend and frontend development, AI/LLM integration, APIs, databases and cloud platforms, with the ability to build scalable, production-ready AI applications.
Required Skills & Experience :
- 5 - 6 years of professional software engineering/full-stack development experience.
- Strong hands-on programming experience in Python, preferably Django.
- Strong experience with JavaScript/TypeScript and React.
- Experience building backend systems, APIs and data-driven applications.
- Practical experience working with Generative AI, LLMs and AI-powered applications.
- Exposure to agentic frameworks such as LangChain, LangGraph, Semantic Kernel or similar.
- Strong understanding of REST/GraphQL APIs, backend architecture and data modelling.
- Experience with SQL and/or NoSQL databases.
- Hands-on experience with Docker and cloud platforms such as GCP, Azure or similar.
- Good understanding of software design principles and system design.
- Strong problem-solving and debugging skills.
- Good communication skills and ability to work collaboratively in a fast-paced environment.
Key Responsibilities :
- Design, develop and maintain full-stack Generative AI applications.
- Build robust backend systems and APIs for AI-driven products and agent-based applications.
- Integrate LLMs and GenAI models into scalable, production-ready applications.
- Develop user-facing applications using modern frontend technologies.
- Build reusable components and frameworks for model integration, deployment and monitoring.
- Implement appropriate logging, monitoring, tracing and validation for AI applications.
- Work with agentic AI frameworks such as LangChain, LangGraph or Semantic Kernel.
- Develop and integrate REST/GraphQL APIs and work with SQL/NoSQL databases.
- Containerise applications using Docker and deploy solutions on cloud platforms.
- Follow strong software engineering practices, including code reviews, testing and documentation.
- Collaborate with data scientists, AI engineers and other technical teams to deliver end-to-end AI solutions.
Preferred :
- Experience taking AI/GenAI applications from development to production.
- Exposure to model deployment, monitoring, guardrails and LLM application security.
- Experience working in a consulting, product or start-up environment.
- Familiarity with machine learning, data science and large-scale data processing.
Skills
Full Stack, Generative AI, Artificial Intelligence, LLM, Python, Django, Javascript, TypeScript, React.js, REST API, LangGraph