Experion Technologies
Website:
experionglobal.com
Job details:
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.
Job Description / 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.
Strong understanding of statistics, probability, and data modeling.
Click on Apply to know more.