Generative AI/ML Full Stack Developer
First seen by Alion on Oct 27, 2026.
Role Overview:
We are looking for a hands-on Generative AI/ML Full Stack Developer to build, integrate, and deploy AI-powered applications. The ideal candidate will have strong Python development skills, experience building backend services and APIs, knowledge of microservices architecture, and hands-on exposure to containerization and CI/CD automation.
Key Responsibilities:
- Design, develop, and maintain scalable full-stack applications with a focus on AI/ML capabilities.
- Build backend services and REST APIs using Python, Django, and FastAPI.
- Develop and integrate microservices, ensuring reliability, performance, and maintainability.
- Integrate Generative AI and machine-learning models into application features.
- Containerize applications using Docker and support deployment across cloud and hosting environments.
- Build and maintain CI/CD pipelines, automated testing, and deployment workflows.
- Collaborate with product, design, and engineering teams to deliver secure, high-quality software.
- Troubleshoot issues across development, testing, and production environments.
- Write clean, reusable, well-documented code and participate in code reviews.
Required Skills & Experience:
- 2 - 3 years of professional software development experience.
- Strong hands-on programming experience with Python.
- Experience building applications and REST APIs using Django and/or FastAPI.
- Practical understanding of microservices architecture and service integration.
- Experience developing and deploying containerized applications using Docker.
- Knowledge of CI/CD automation, automated testing, and deployment practices.
- Understanding of frontend and backend development concepts.
- Familiarity with Generative AI/ML concepts and integrating AI/ML services into applications.
- Strong problem-solving, communication, and collaboration skills.
Preferred Qualifications:
- Exposure to cloud platforms such as AWS, Azure, or Google Cloud.
- Familiarity with Kubernetes or other container orchestration tools.
- Experience with relational or NoSQL databases.
- Understanding of application monitoring, logging, and security practices.
- Exposure to LLM APIs, prompt engineering, or Retrieval-Augmented Generation (RAG).
Skills
Artificial Intelligence, Machine Learning, Python, Django, FastAPI, Generative AI, Microservices Architecture, RESTful API, Full Stack