Generative AI & AWS Engineer
First seen by Alion on Aug 13, 2026.
Job Summary:
We are looking for a Generative AI & AWS Engineer to design, develop, and deploy AI-powered applications using Generative AI technologies and AWS cloud services.
The ideal candidate should have hands-on experience with LLMs, prompt engineering, RAG, Python, APIs, and AWS services.
Key Responsibilities:
- Develop and integrate Generative AI solutions using LLMs and AI APIs.
- Build RAG (Retrieval-Augmented Generation) applications using vector databases and embedding models.
- Design and optimize prompts for LLM-based applications.
- Develop AI applications using Python, REST APIs, and SDKs.
- Deploy and manage AI solutions on AWS cloud infrastructure.
- Work with AWS services such as Amazon Bedrock, Lambda, S3, EC2, API Gateway, CloudWatch, and IAM.
- Build scalable and secure cloud-based AI applications.
- Integrate AI models with enterprise applications and databases.
- Perform testing, debugging, monitoring, and optimization of AI solutions.
- Collaborate with software engineers, data scientists, and business teams to understand requirements.
- Stay updated with emerging Gen AI, LLM, and AWS technologies.
Tech Stack & Requirements :
- Strong knowledge of Generative AI and Large Language Models (LLMs).
- Hands-on experience with AWS cloud services (Amazon Bedrock, Lambda, S3, etc.).
- Proficiency in Python programming.
- Understanding of RAG, embeddings, vector databases (FAISS, Pinecone, etc.), and prompt engineering.
- Experience with LangChain, LlamaIndex, or OpenAI APIs.
- Familiarity with Git, Docker, and CI/CD practices.
Education :
- Bachelors/Masters degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, or a related field.
What We Offer :
- Opportunity to work on real-world Generative AI and AWS projects.
- Exposure to modern LLM and cloud technologies.
- Learning and professional growth opportunities.
- Collaborative and innovative work environment.
Skills
Artificial Intelligence, AWS, LLM, Python, RAG, LangChain, Cloud