Role

Lead AI Engineer

Mandatory Skills

Python, Multi-LLM system, RAG, AWS Lambda, Amazon API Gateway, Claude models, Bedrock-hosted models (AWS Bedrock, AWS Bedrock Knowledgebase)

Primary Skills

Python, Multi-LLM system, RAG, AWS Lambda, Claude models, Bedrock-hosted models (AWS Bedrock, AWS Bedrock Knowledgebase)

Good to Have

AWS

Total Experience

8+ years

Relevant Experience

7+ years

Work Location

Kochi / TVM / Remote

Qualification

Bachelor's Degree

Job Purpose

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

/ Duties and Responsibilities

AI Engineering

Build agentic solutions with conversational agents at the front end and agentic automation for data retrieval at the backend.

Build Text-to-SQL AI capability.

Build graph databases from SQL as well as unstructured data.

Build and optimize RAG pipelines and Graph RAG capabilities.

Evaluate LLMs (primarily AWS Bedrock-based, and additionally other cloud and on-prem LLMs) for performance, scalability, and cost.

Knowledge of GPU-based LLM installation and management is a plus.

Knowledge of MLOps and methodologies for model and agentic deployment is required.

Backend Development

Develop scalable services using

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

Adhere to the Information Security Management policies and procedures.

Job Specification / Skills and Competencies

Required Skills

Hands-on experience in GenAI application development.

RAG implementation.

Graph implementation.

LLM integration.

Strong AWS serverless experience.

Experience working with Bedrock-based architectures.

Ability to work independently in embedded teams.

Experience leading a small team of 2 to 4 members.

Customer management and requirements analysis.

Ability to solve AI business problems.

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 AWS cloud platform and related AI/ML/LLM services.

Robust understanding of statistics, probability, and data modeling.

📌 Lead AI Engineer (Kerala)
🏢 Experion Technologies
📍 Kerala