AI Engineer

Top Gen AI Jobs

Bengaluru

On-site

INR 2,531,000 - 3,916,000

Full time

5 days ago
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Job summary

Siemens Technology and Services Private Limited in Bengaluru is hiring a Senior Software Engineer - AI Engineer to build production‑grade GenAI systems and enterprise AI applications. You will collaborate with product, data, and platform teams across the organization to deliver scalable AI solutions.

The role emphasizes prompt engineering, embeddings, RAG architectures, and integration with enterprise APIs. Strong Python and LLMOps experience are required, with office‑based work in Bangalore.

Qualifications

  • 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.

Responsibilities

  • Design, develop, and deploy LLM‑powered applications.
  • Build and optimise 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 optimisation.
  • Ensure security, governance, and responsible AI practices.
  • Collaborate with product, data, and platform teams to deliver business solutions.

Skills

LLMOps
RAG
LangChain
LlamaIndex
OpenAI
Hugging Face
Anthropic
Embeddings
multimodal AI
Python
FAISS
Pinecone
Qdrant
ADK
PyTorch

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

Job description

Job Description:

Home/Jobs/AI Engineer

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 optimise 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 optimisation
  • 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

Recommended resources to build the skills for this position. Sponsored.

Top 50 Embeddings Interview Questions

Zenaique

Curated embeddings questions covering models, similarity, and retrieval.

Top 15 Embeddings Interview Questions (Quick)

Zenaique

A shorter embeddings interview prep set for quick review.

Top 50 LLMOps Interview Questions

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Curated LLMOps questions covering deployment, monitoring, and scaling.

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