AI Engineer

Top Gen AI Jobs; Bagalur; On-site; INR 2,531,000 - 3,916,000; Full time

Job summary

Siemens Technology and Services Private Limited in Bengaluru, Karnataka, invites a Senior AI Engineer to design, develop, and deploy GenAI solutions for enterprise use cases. The role focuses on production-grade LLM-powered applications and Retrieval-Augmented Generation pipelines.

You will work with LLMs, GenAI frameworks, and MLOps practices to build scalable pipelines, ensure security and governance, and collaborate with product, data, and platform teams.

Qualifications

• 3–5 years of experience in software/ML engineering.
• 1–2 years of hands-on experience in Generative AI / LLM-based systems.
• Experience with LLMs and GenAI frameworks.
• Experience with API development and microservices.
• Understanding of MLOps / LLMOps practices.

Responsibilities

• Design, develop, and deploy LLM-powered applications.
• Build and optimize Retrieval-Augmented Generation pipelines for enterprise knowledge use cases.
• Develop AI agents and autonomous workflows using modern frameworks.
• Perform prompt engineering and evaluation to improve output quality.
• Integrate GenAI models with enterprise systems, APIs, and data sources.
• Build scalable pipelines covering data ingestion, embeddings, retrieval, and generation.
• Implement LLMOps practices including monitoring, evaluation, versioning, and cost optimization.
• Ensure security, governance, and responsible AI practices.
• Collaborate with product, data, and platform teams to deliver business solutions.

Skills

LLM

RAG

LangChain

LlamaIndex

Gen AI

OpenAI

Hugging Face

Anthropic

Embeddings

Vector Database

LLMOps

Multimodal AI

Python

FAISS

Pinecone

Education

Bachelor’s degree in computer science, AI, Data Science, or related field

Master’s degree in computer science, AI, Data Science, or related field

Tools

PyTorch

TensorFlow

AWS

Azure

GCP

Qdrant

Job description

Job Description

AI Engineer

Siemens Technology

Bengaluru / Bangalore - Karnataka - India

3-5 years

Today

$26.5K–41.0K/yr

Full-time

Onsite

Skills Required

• LLM
• RAG
• LangChain
• LlamaIndex
• Gen AI
• OpenAI
• Hugging Face
• Anthropic
• Embeddings
• Vector Database
• LLMOps
• Multimodal AI
• Python
• FAISS
• Pinecone

Description

Senior AI Engineer role focused on building production-grade GenAI solutions for enterprise use cases. The position is part of Siemens Technology and Services Private Limited in Bangalore.

Company

Siemens Technology and Services Private Limited

Role

AI Engineer

Location

Bangalore - Karnataka - India

Experience

• 3–5 years of experience in software/ML engineering
• 1–2 years of hands-on experience in Generative AI / LLM-based systems
• Experience with LLMs and GenAI frameworks
• Experience with API development and microservices
• Understanding of MLOps / LLMOps practices

Qualification

• Bachelor’s degree in computer science, AI, Data Science, or related field
• Master’s degree in computer science, AI, Data Science, or related field

Responsibilities

• Design, develop, and deploy LLM-powered applications
• Build and optimize Retrieval-Augmented Generation pipelines for enterprise knowledge use cases
• Develop AI agents and autonomous workflows using modern frameworks
• Perform prompt engineering and evaluation to improve output quality
• Integrate GenAI models with enterprise systems, APIs, and data sources
• Build scalable pipelines covering data ingestion, embeddings, retrieval, and generation
• Implement LLMOps practices including monitoring, evaluation, versioning, and cost optimization
• Ensure security, governance, and responsible AI practices
• Collaborate with product, data, and platform teams to deliver business solutions

Additional Responsibilities

• Fine-tune or adapt foundation models such as GPT, LLaMA, multimodal models, and SLMs
• Work on real-world RAG pipelines, agent workflows, and production-grade GenAI systems

Nice To Have

• Agentic AI frameworks such as LangGraph, CrewAI, or ADK
• Knowledge of multimodal AI for text and image
• Experience in fine-tuning or adapting foundation models
• Familiarity with knowledge graphs or semantic search systems
• Experience building AI copilots or automation systems
• Exposure to UI frameworks such as Streamlit and Gradio for GenAI apps

More Skills

• Google, Prompt engineering, Qdrant, ADK, PyTorch, TensorFlow, AWS, Azure, GCP