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Job Description

Build and optimize backend AI/ML capabilities for intelligent agent workflows as a Python-focused engineer working onsite in Palo Alto.

Responsibilities

  • Design, build, and maintain Python-based services, integrations, and data pipelines that enable AI agent functionality
  • Create reusable libraries, APIs, and frameworks that speed up AI-driven product development
  • Maintain engineering quality through testing, CI/CD, and performance monitoring to improve reliability and scalability
  • Implement and optimize AI workflows using LLMs, embeddings, RAG systems, and vector databases
  • Integrate AI/ML tooling and external services, including examples like OpenAI, Hugging Face, LangChain, Pinecone, and Weaviate
  • Run experiments with prompt engineering and fine-tuning to enhance deployed agent reliability and performance
  • Work with product and core engineering teams to translate requirements into technical solutions
  • Support architecture decisions and contribute to internal technical documentation
  • Assist with deployment of agents into enterprise environments, with emphasis on stability, accuracy, and scale

Requirements

  • 2–5 years of professional experience as a Python Engineer / Backend Engineer (AI/ML experience is a strong plus)
  • Strong proficiency in Python and familiarity with JavaScript/TypeScript for integrations
  • Hands-on knowledge of AI/ML frameworks and tools, including OpenAI, Hugging Face, LangChain, vector databases, and RAG
  • Understanding of system integration patterns and comfort working with RESTful APIs, JSON, and data pipelines
  • Experience with enterprise systems (CRM, ERP, Helpdesk, Developer platforms, HR/Finance systems) is a plus
  • Strong debugging, testing, and optimization skills
  • Ability to write clean, maintainable, and well-documented code

Technology

  • Python
  • JavaScript, TypeScript
  • OpenAI
  • Hugging Face
  • LangChain
  • Vector databases
  • RAG systems
  • Pinecone, Weaviate
  • RESTful APIs, JSON
  • CI/CD

Salary

  • USD 110,000 - 120,000 per year
  • Plus bonus potential

What Success Looks Like (3–6 Months)

  • Build confidence in the internal platform, including integrations and Python services
  • Deliver backend components that integrate AI/ML capabilities into enterprise workflows
  • Contribute to reusable libraries, deployment pipelines, and system reliability practices
  • Collaborate with other engineers and product teams and influence technical direction

Benefits

  • Flexible paid time off, including sick and holiday
  • Medical, dental, and vision insurance
  • 401K with Company contribution
  • Flexible spending accounts
  • Life insurance and disability benefits
  • Tuition assistance
  • Community involvement and volunteering events

Additional Information

  • M/F/Disabled/Vet VEVRAA Federal Contractor
  • Drug-Free Workplace
  • Apply at: www.ifs.com/about/careers-at-ifs
  • Equal opportunity employer; consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status

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