Generative AI/LLM integrations jobs

AI Senior Engineer- AI Native Engineering

Mercedes-Benz Vans · Posted Nov 11, 2026

Open

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

Apply with Referso

AI Senior Engineer- AI Native Engineering

Mercedes-Benz Vans · Posted Nov 11, 2026

Open

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

Apply with Referso

AI Senior Architect- AI Native Engineering

Mercedes-Benz Vans · Posted Nov 11, 2026

Open

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

Apply with RefersoAI Apply on careers page

Seeking an AI Architect with 9+ years of overall IT experience, including 3–4 years of hands-on experience in Artificial Intelligence, Machine Learning, or Generative AI solutions, to define AI architecture strategies and integrate AI capabilities into 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
Design and implement machine learning and deep learning solutions
Architect and develop Generative AI applications including LLM integrations, Retrieval-Augmented Generation (RAG), prompt engineering frameworks, and AI agents

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

Full stack engineering Backend development (Python, Java, .NET, or Node.js)APIs

AI Senior Engineer- AI Native Engineering

Job Search · Posted Nov 11, 2026

Open

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

Apply with RefersoAI Apply on careers page

We are seeking an AI Architect with 6–9 years of overall IT experience, including 3–4 years of hands-on experience in Artificial Intelligence, Machine Learning, or Generative AI solutions. The ideal candidate will have a strong full stack engineering background combined with expertise in designing, developing, and deploying AI-powered systems at scale.

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
Design and implement machine learning and deep learning solutions where required
Architect and develop Generative AI applications including LLM integrations, Retrieval-Augmented Generation (RAG), prompt engineering frameworks, and AI agents

Requirements

Bachelor’s Degree in Engineering (Computer Science or Information Technology)
Nice to have: enterprise AI platform implementation
Nice to have: vector databases
Nice to have: AI observability and monitoring tools
Nice to have: NLP

Skills

Python Java .NET Node.js