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
AI Engineering
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
Model Optimization
Prompt engineering
Retrieval tuning
Latency optimization
Output quality improvement
Job Specification / Skills
Required Skills :
Hands-on experience in:
RAG implementation
Graph implementation
LLM integration
Solid 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
Multi-model orchestration experience
Bachelor’s or Master’s degree in Computer Science, or a related field.
Solid 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.
Robust understanding of statistics, probability, and data modeling.
📌 Lead Ai Engineer Kochi
🏢 Experion Technologies
📍 Kochi
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