Posted 28 July, 2026
Data Engineer/ GenAI
Artech Infosystems Pvt Ltd
Bangalore, IN
Full Time
Reference: 26-45492-100-1
We are looking for an experienced GenAI / Data Engineer to join our team in Bangalore and help build, scale, and productionize next-generation AI solutions.
Face to Face - 03-08-2026 (Monday)
Experience: 4 + years
Location: Bangalore (Whitefield)
Role: GenAI / Data Engineer
Key Skills
Generative AI – LLMs, RAG, AI Agents
Advanced Python & Production ML
Strong Data Engineering – SQL, ETL
Cloud: AWS / GCP / Azure
MLOps: CI/CD, Docker, Kubernetes, MLflow
Model Evaluation & Responsible AI
Statistical & Analytical Analysis
Requirement Elicitation, Analysis & Solution Design
Key Responsibilities
• Build and scale GenAI solutions using RAG and AI agents
• Productionize ML pipelines and deploy reliable Python services
• Translate business requirements into scalable technical designs
• Partner closely with data, infrastructure, and client stakeholders
• Develop robust data pipelines and ML workflows
• Implement model evaluation, monitoring, and responsible AI practices
What We’re Looking For
Someone who can bridge the gap between business requirements, data engineering, machine learning, and GenAI — and take solutions from concept to production.
Face to Face - 03-08-2026 (Monday)
Experience: 4 + years
Location: Bangalore (Whitefield)
Role: GenAI / Data Engineer
Key Skills
Generative AI – LLMs, RAG, AI Agents
Advanced Python & Production ML
Strong Data Engineering – SQL, ETL
Cloud: AWS / GCP / Azure
MLOps: CI/CD, Docker, Kubernetes, MLflow
Model Evaluation & Responsible AI
Statistical & Analytical Analysis
Requirement Elicitation, Analysis & Solution Design
Key Responsibilities
• Build and scale GenAI solutions using RAG and AI agents
• Productionize ML pipelines and deploy reliable Python services
• Translate business requirements into scalable technical designs
• Partner closely with data, infrastructure, and client stakeholders
• Develop robust data pipelines and ML workflows
• Implement model evaluation, monitoring, and responsible AI practices
What We’re Looking For
Someone who can bridge the gap between business requirements, data engineering, machine learning, and GenAI — and take solutions from concept to production.
