Job Description :

We are seeking highly skilled AI / GenAI Engineers with 6-8 years of experience to join a dynamic team delivering cutting-edge Generative AI solutions for enterprise customers. This is an exciting opportunity to work on advanced AI initiatives involving Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), intelligent automation, and cloud-native AI architectures built on AWS.

About the Role :

As an AI / GenAI Engineer, you will be responsible for designing, developing, and deploying scalable Generative AI applications using AWS Bedrock and related AWS AI services. You will work closely with architects, data engineers, product teams, and business stakeholders to build enterprise-grade AI solutions that enhance productivity, automate workflows, and deliver intelligent user experiences.

The ideal candidate should have strong expertise in modern AI technologies, cloud platforms, API development, and the practical implementation of LLM-powered applications.

Key Responsibilities :

- Design, develop, and deploy Generative AI applications leveraging AWS Bedrock and foundation models.

- Build and optimize Retrieval-Augmented Generation (RAG) pipelines for enterprise knowledge retrieval and question-answering systems.

- Integrate foundation models such as Claude, Llama, Titan, and other LLMs into business applications and workflows.

- Develop scalable APIs and backend services using Python and AWS-native services.

- Engineer effective prompts and AI workflows to improve model accuracy, reliability, and user experience.

- Implement vector search, embeddings, and semantic retrieval solutions using modern vector databases.

Required Skills & Experience :

- 6-8 years of hands-on software engineering and application development experience.

Strong experience with Generative AI technologies, including :

1. Large Language Models (LLMs)

2. Retrieval-Augmented Generation (RAG)

3. Prompt Engineering

4. AI Agents and Intelligent Automation

- Hands-on experience with AWS Bedrock and deploying enterprise AI solutions on AWS.

Experience working with foundation models such as :

1. Claude

2. Llama

3. Titan

4. Other commercial or open-source LLMs

- Strong programming skills in Python.

- Experience designing and developing RESTful APIs and microservices.