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1–2 jobs· newest first

AI Senior Engineer- AI Native EngineeringNew
Mercedes-Benz Vans · Bengaluru, India
Full-time · Senior
AI Senior Engineer- AI Native EngineeringNew
Job Search · Bengaluru, India
Full-time · Senior

+10K new in the last hour

AI Senior Engineer- AI Native Engineering

Mercedes-Benz Vans · Posted Nov 11, 2026

Bengaluru, Karnataka, India
Full-time · Senior
6–9 years

Apply with Referso

AI

Apply on careers page

AI Architect responsible for designing, developing, and deploying AI-powered systems at scale within enterprise applications.

Responsibilities

Design end-to-end AI solutions across data, model, application, and infrastructure layers
Translate business problems into AI-driven technical architectures
Define AI platform architecture, model deployment strategies, and integration patterns
Evaluate and select appropriate AI/ML frameworks, tools, and technologies
Provide architecture guidance for AI initiatives across the organization

Requirements

Bachelor’s Degree in Engineering (Computer Science or Information Technology)
Nice to have: Enterprise AI platform implementation
Nice to have: Vector databases (Pinecone, FAISS, Weaviate)
Nice to have: AI observability and monitoring tools
Nice to have: NLP

Skills

Python Java .NET Node.js TensorFlow PyTorch Scikit-learn LangChain Docker Kubernetes CI/CD pipelines Azure AWS GCP MLOps MLOps pipelines AI system architecture AI deployment patterns Data engineering MLOps practices

See full job description

AI Senior Engineer- AI Native Engineering

Job Search · Posted Nov 11, 2026

Bengaluru, Karnataka, India
Full-time · Senior
6–9 years

Apply with RefersoAI Apply on careers page

AI Architect responsible for designing, developing, and deploying AI-powered systems at scale, leading AI strategy and integration across enterprise applications.

Responsibilities

Design end-to-end AI solutions across data, model, application, and infrastructure layers
Translate business problems into AI-driven technical architectures
Define AI platform architecture, model deployment strategies, and integration patterns
Evaluate and select appropriate AI/ML frameworks, tools, and technologies
Provide architecture guidance for AI initiatives across the organization

Requirements

Bachelor’s Degree in Engineering (Computer Science or Information Technology)
Nice to have: Enterprise AI platform implementation
Nice to have: Vector databases (Pinecone, FAISS, Weaviate)
Nice to have: AI observability and monitoring tools
Nice to have: NLP

Skills

Python Java .NET Node.js TensorFlow PyTorch

CI/CD pipelines

Data engineering

AI system architecture

AI deployment patterns

LLM integrations

Retrieval-Augmented Generation

Prompt engineering

See full job description