Senior AI Engineer, Agentic AI

Applied Materials
Bengaluru
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 5-8 yearsEducation: mastersSkills: ["Problem-solving","Communication","Mentoring","Analytical thinking","Collaboration"]

Build production-grade AI solutions spanning Agentic AI, Generative AI, and LLM-based applications. Own the full lifecycle from design and deployment through monitoring, optimization, and scaling. You’ll develop RAG and multi-agent workflows, evaluate model performance and hallucination rates, and deliver cloud-native APIs and reusable AI services integrating Databricks, Azure AI Foundry, and AWS. Mentor engineers and help establish best practices for enterprise AI systems.

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FursaFursa
Applied Materials
Applied Materials
3 days ago

Senior AI Engineer, Agentic AI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 12 hours agoStatus: Live

Job Summary

Build production-grade AI solutions spanning Agentic AI, Generative AI, and LLM-based applications. Own the full lifecycle from design and deployment through monitoring, optimization, and scaling. You’ll develop RAG and multi-agent workflows, evaluate model performance and hallucination rates, and deliver cloud-native APIs and reusable AI services integrating Databricks, Azure AI Foundry, and AWS. Mentor engineers and help establish best practices for enterprise AI systems.
Location: Bengaluru
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design, develop, and deploy LLM applications, RAG systems, multi-agent workflows, and scientific AI solutions
  • •Fine-tune foundation models and build embedding pipelines, vector search systems, and agent orchestration frameworks
  • •Evaluate model performance, hallucination rates, and business impact
  • •Develop production-quality AI systems and reusable AI services using Python, FastAPI, LangGraph, LangChain, and Semantic Kernel
  • •Mentor junior engineers, establish engineering best practices, and collaborate with product and business stakeholders
Travel: Low travel

Pay and Benefits

Perks:Travel AllowanceLearning BudgetEmployee Assistance

Key Requirements

  • •BS/MS in Computer Science, Data Science, or Software Engineering
  • •5 to 8 years of Software Engineering / Machine Learning experience
  • •End-to-end understanding from technical architecture through production deployment
  • •Strong system design and SDLC knowledge in enterprise environments
  • •2+ years hands-on Generative AI experience with Python, LangGraph, Transformers, LLMs, and integrations
Experience:5-8 years
Education:Master's
Skills:Problem-solvingCommunicationMentoringAnalytical thinkingCollaboration
Tech Stack:PythonFastAPILangGraphLangChainSemantic KernelTransformersLLMsRAGDatabricksAzure AI FoundryAWSMulti-agent orchestrationVector searchEmbedding pipelines

Company Brief

Applied Materials
Provides semiconductor manufacturing equipment, services, and software used to build advanced chips and display technologies. Its tools support materials engineering, deposition, etching, inspection, and process control for major electronics manufacturers worldwide.
Industry: Industrial Machinery
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1967
Glassdoor
Glassdoor: 3.9
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