Senior AI/ML Engineer (Python) - Enterprise AI Platform

IFS

California

On-site

USD 170,000 - 185,000

Full time

6 days ago
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Benefits offered by this job

Medical, dental, and vision insurance
401K with company contribution
Flexible paid time off
Life insurance and disability benefits

Job summary

IFS, a global enterprise software leader, seeks a Senior AI/ML Engineer to design, develop, and deploy enterprise-scale AI systems powering intelligent agents and autonomous workflows. You will blend software engineering excellence with AI/ML expertise to build scalable, production-grade solutions on LLMs, vector databases, and cloud platforms.

You will collaborate with engineering, product, and domain experts to deliver reliable, observable, and secure AI platforms while sharing technical

Qualifications

  • 5+ years of software engineering with AI/ML in production.
  • Strong backend design and API skills.
  • Hands-on with LLMs, agent frameworks, and vector stores.
  • Experience with cloud-native architectures.
  • Knowledge of AI governance and observability.

Responsibilities

  • Design scalable AI services and platform capabilities for enterprise workflows.
  • Build reusable SDKs, APIs, and orchestration layers.
  • Contribute to architectural discussions and design reviews.
  • Deliver production-grade AI solutions with reliability and security.
  • Collaborate with cross-functional teams to translate requirements into scalable solutions.

Skills

Python
LLMs
Agent frameworks
Cloud-native
Production AI

Tools

OpenAI
Azure AI
Anthropic
Hugging Face
LangChain
Pinecone

Job description

IFS, a global enterprise software leader, seeks a Senior AI/ML Engineer to design, develop, and deploy enterprise-scale AI systems powering intelligent agents and autonomous workflows. You will blend software engineering excellence with AI/ML expertise to build scalable, production-grade solutions on LLMs, vector databases, and cloud platforms.

You will collaborate with engineering, product, and domain experts to deliver reliable, observable, and secure AI platforms while sharing technical

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