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.