Job Description

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AI Engineer

Siemens Technology And Services Private Limited

Bengaluru

3-5 years

Today

$26.5K–41.0K/yr

Full-time

Onsite

Skills Required

LLMOps

RAG

LangChain

LlamaIndex

OpenAI

Hugging Face

Anthropic

Embeddings

multimodal AI

Python

FAISS

Pinecone

Qdrant

ADK

PyTorch

Description

Siemens Technology and Services Private Limited is hiring a Senior Software Engineer - AI Engineer in its Foundational Technologies organization. The role focuses on production-grade GenAI systems, enterprise AI applications, and collaboration across product, data, and platform teams.

Company: Siemens Technology and Services Private Limited

Role: Senior Software Engineer - 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
  • Strong programming skills in Python
  • Experience with LLMs and GenAI frameworks
  • Hands-on experience with prompt engineering
  • Hands-on experience with embeddings and vector databases
  • Hands-on experience with RAG architectures
  • Experience with frameworks like LangChain, LlamaIndex, ADK, or similar
  • Knowledge of deep learning frameworks
  • Experience with API development and microservices
  • Familiarity with cloud platforms
  • 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
  • Fine-tune or adapt foundation models
  • 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

  • These responsibilities reflect real-world roles involving RAG pipelines, agent workflows, and production-grade GenAI systems.
  • The role is based in Bangalore and is office/site only.
  • Job type: Full-time
  • Employment type: Permanent
  • Experience level: Experienced Professional
  • Field of work: Research & Development
  • Organization: Foundational Technologies

Nice To Have

  • Experience with agentic AI frameworks
  • Knowledge of multimodal AI
  • 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 for GenAI apps

More Skills

LLM-powered applications, chatbots, copilots, document intelligence systems, AI agents, autonomous workflows, prompt engineering, evaluation, enterprise systems, APIs, data sources, foundation models, GPT, LLaMA, multimodal models, SLM's, data ingestion, retrieval, generation, security, governance, responsible AI, Google, TensorFlow, AWS, Azure, GCP

Prepare for this role

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Job Details

Role Level: Not Applicable Work Type: Full-Time
Country: India City: Bengaluru ,Karnataka
Company Website: Job Function: Data Science & AI
Company Industry/
Sector:
Other

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