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AI/Machine Learning Engineer - Python - Loops

External
Ifs1 logoIfs1 · Palo Alto, CA
$110K–$120K/yrFull-timeOn-site2w ago
CI/CDCRMDocumentationHugging FaceJavaScriptLangChain
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Responsibilities

  • Backend & Systems Engineering
  • Build and maintain Python-based services, integrations, and data pipelines that support AI agent functionality.
  • Develop reusable libraries, APIs, and frameworks to accelerate AI-driven product capabilities.
  • Ensure code quality, maintainability, and scalability through testing, CI/CD, and performance monitoring.
  • Applied AI/ML Engineering
  • Implement and optimize workflows leveraging LLMs, embeddings, RAG systems, and vector databases.
  • Integrate AI/ML libraries and external APIs (e.g., OpenAI, Hugging Face, LangChain, Pinecone, Weaviate).
  • Experiment with prompt engineering and fine-tuning to improve reliability and performance of deployed agents.
  • Collaboration & Delivery
  • Partner with product and core engineering teams to translate requirements into technical solutions.
  • Contribute to architecture decisions and internal technical documentation.
  • Support the deployment of agents into enterprise environments with a focus on stability, accuracy, and scale.
  • 2-5 years of professional experience as a Python Engineer / Backend Engineer (experience with AI/ML is a strong plus).
  • Strong proficiency in Python and familiarity with JavaScript/TypeScript for integrations.
  • Hands-on knowledge of AI/ML frameworks and tools (OpenAI, Hugging Face, LangChain, vector DBs, 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.
  • What Success Looks Like in 3-6 Months
  • Technical Depth: You'll be proficient in the internal platform, building integrations and Python services with confidence.
  • AI/ML Impact: You'll have delivered backend components that integrate AI/ML capabilities into enterprise workflows.
  • Engineering Excellence: You'll contribute to reusable libraries, deployment pipelines, and system reliability practices.
  • Team Contribution: You'll collaborate effectively with other engineers and product teams, influencing technical direction.
  • What We're Offering
  • Salary Range: $110,000 to $120,000 plus bonus potential
  • Flexible paid time off, including sick and holiday
  • Medical, dental, & vision insurance
  • 401K with Company contribution
  • Flexible spending accounts
  • Life insurance and disability benefits
  • Tuition assistance
  • Community involvement and volunteering events
  • M/F/Disabled/Vet VEVRAA Federal Contractor. We are a Drug-Free Workplace. Interested candidates should apply at: www.ifs.com/about/careers-at-ifs
  • All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. VEVRAA Federal Contractor, Equal Opportunity Employer
  • All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. VEVRAA Federal Contractor, Equal Opportunity Employer
  • All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. VEVRAA Federal Contractor, Equal Opportunity Employer

Benefits

Dental insuranceVision insurance401(k)Flexible schedulePerformance bonus

Additional Information

As a Software Engineer, AI/ML , you will design, build, and optimize the backend systems that power intelligent agent workflows. You will work across data pipelines, APIs, and AI/ML frameworks to create reliable, scalable, and production-ready solutions. This role emphasizes strong software engineering fundamentals, with the added dimension of applying AI/ML concepts to real-world enterprise applications.


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