Artificial Intelligence Engineer

Role – Sr. AI Engineer

Skills – Mandatory GenAI, Agentic AI Python and libraries (TensorFlow, PyTorch, Pandas, NumPy) Skills - Primary GenAI, Agentic AI Python and libraries (TensorFlow, PyTorch, Pandas, NumPy)

Skills - Good to have AWS

Qualification Bachelor’s Degree Total Experience 6+ years Relevant Experience 6+ years Work Location Cochin/TVM /Remote

Job Purpose

We are seeking a hands-on AI Engineer to build, integrate, and operationalize GenAI capabilities. This is a core engineering role responsible for day-to-day implementation of AI features using AWS-native tooling.

Job Description / Duties & Responsibilities

AI Engineering Build and optimize RAG pipelines Integrate LLMs including: Claude 3.7 Sonnet Amazon Nova Micro Implement Bedrock-based inference and fine-tuning workflows Backend Development Develop scalable services using: AWS Bedrock AWS OpenSearch Service AWS S3 Amazon DynamoDB AWS CloudWatch Deploy via: AWS Lambda Amazon API Gateway Amazon CloudFront Model Optimization Prompt engineering Retrieval tuning Latency optimization Output quality improvement

Job Specification / Skills and Competencies

Required Skills Hands-on experience in: GenAI application development RAG implementation LLM integration Strong AWS serverless experience Experience working with Bedrock-based architectures Ability to work independently in embedded teams Nice to Have Experience with healthcare or sensitive data systems Exposure to AI evaluation frameworks Multi-model orchestration experience Bachelor’s or Master’s degree in Computer Science, or a related field. Strong coding skills in Python and ML libraries such as TensorFlow, PyTorch, or scikit-learn. Experience with data preprocessing, feature engineering, and model lifecycle management. Proficiency in ML pipelines and deployment using MLflow, Docker, Kubernetes, or similar. Familiarity with cloud platform AWS and related AI/ML, LLM services. Strong understanding of statistics, probability, and data modeling.