Senior Gen AI Engineer

Role Overview

We are looking for a skilled GenAI / LLM Engineer to design, develop, and deploy AI-driven solutions leveraging Large Language Models (LLMs). The role involves working on scalable AI applications hosted on cloud platforms, particularly within AWS environments.

Must have minimum 5-6 years of experience otherwise don’t apply

Key Responsibilities

Design and develop Generative AI solutions using LLMs (e.g., OpenAI, Bedrock, Hugging Face, etc.)

Build and deploy end-to-end AI/ML pipelines on cloud platforms

Work on LLM integration, prompt engineering, and model fine-tuning

Develop and implement API-based AI services

Collaborate with cross-functional teams to deliver business-driven AI use cases

Ensure scalability, performance, and reliability of AI solutions deployed on cloud infrastructure

Contribute to solution architecture for cloud-based AI deployments (preferably AWS)

Required Skills & Experience

Hands-on experience with Generative AI / LLMs

Strong understanding of ML concepts and NLP techniques

Experience in Python programming and relevant AI/ML frameworks

Exposure to prompt engineering, embeddings, vector databases

Experience building or working on AI solutions hosted on cloud platforms

Cloud Requirement (Important)

Candidates should have experience working on AI/ML solutions deployed on AWS cloud

Specific AWS service expertise is not mandatory; however, practical exposure to AI workloads in an AWS environment is required

Understanding of cloud architecture, deployment, and integration is essential

Good to Have

Exposure to AWS Bedrock, SageMaker, or similar AI services

Experience with MLOps pipelines

Familiarity with Azure or other cloud platforms, along with AWS adaptability

Prior experience in enterprise AI deployments

Client Expectations (Important Note)

While candidates may come from diverse cloud backgrounds, the client expects practical experience working on AI solutions hosted within AWS environments. Candidates with only theoretical knowledge or no hands-on AWS exposure may not be suitable for this role.