Lead AI Engineer

Experion Technologies Pvt. Ltd.; Ernakulam; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Experion Technologies Pvt. Ltd. seeks a hands-on Lead AI Engineer to build and operationalize agentic AI capabilities, mainly Gen AI, using AWS-native tooling. You will implement AI features, evaluate LLMs, and lead a small team to deliver scalable services on AWS.

Responsibilities include building RAG pipelines, graph databases, and Text to SQL AI, with emphasis on performance, cost, and deployment in production. Strong Python skills and ML libraries are expected.

Qualifications

• Hands-on experience in RAG and graph implementations.
• Strong AWS serverless experience with Bedrock-based architectures.
• Ability to work independently in embedded teams and lead 2–4 members.
• Customer requirements analysis and AI business problem solving.
• Experience with data preprocessing and model lifecycle management.

Responsibilities

• Develop agentic AI capabilities for front-end and backend integration.
• Build Text to SQL AI capability and graph databases from SQL/unstructured data.
• Create and optimize RAG pipelines and Graph RAG features.
• Evaluate LLMs (Bedrock and others) for performance, scale, and cost.

Skills

RAG implementation

Graph implementation

LLM integration

AWS serverless

Bedrock architectures

Team independence

Team leadership

Customer requirements

AI business problems

Education

Bachelor’s or Master’s in Computer Science or related field

Tools

Docker

Kubernetes

MLflow

TensorFlow

PyTorch

Job description

We are seeking a hands-on Lead AI Engineer to build, integrate, and operationalize Agenitc AI capabilities, pre dominantly 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

• Build agentic solution with conversational agents at front end & agentic automation for data retrieval at the backend.
• Build Text to SQL AI capability
• Build Graph Database from SQL as well as unstructured data
• Build and optimize RAG pipelines, Graph RAG capabilities etc
• Evaluate LLMs (primarily AWS Bedrock based, additionally other Cloud and on-prem LLMs) for performance, scaling & cost perspectives
• Knowledge on GPU based LLM installation/management is a plus
• Knowledge of MLOps and methodologies of model/agentic deployment is requisite

Develop scalable services using:

• AWS OpenSearch Service
• AWS S3
• Amazon DynamoDB
• AWS CloudWatch
• Deploy via:
• AWS Lambda
• Amazon API Gateway
• Amazon CloudFront
• Latency optimization

Job Specification / Skills

Required Skills

• Hands-on experience in:
• RAG implementation
• Graph implementation
• LLM integration
• Strong AWS serverless experience
• Experience working with Bedrock-based architectures
• Ability to work independently in embedded teams
• Leading a small of 2 – 4 members.
• Customer Management, Requirements analysis
• Solution of AI business problems

Nice to have

• Experience with healthcare or sensitive data systems
• Exposure to AI evaluation frameworks
• 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.