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Senior AI/Machine Learning Engineer - Python | TheLoops

Palo Alto, California, United States

Live, first seen by us today
Pay
$170,000–185,000/yearAnnual period assumed. Plus bonus — pay source
What We’re Offering Salary Range: $170,000 to $185,000 plus bonus potential Flexible paid time off, including sick and holiday
Read the full posting
Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting
Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting

What you’ll work on

Full posting
  • Design and build scalable AI services, APIs, SDKs and orchestration layers

  • Build production RAG, embedding and agent orchestration solutions using LLMs

  • Develop prompt engineering, evaluation strategies and guardrails for quality and safety

  • Optimize latency, accuracy, cost and scalability of deployed AI systems

  • Troubleshoot performance issues and run root-cause analysis across AI services

From the employer’s posting
Design and implement scalable AI services and platform capabilities that support intelligent agents and enterprise workflows.
Design and implement production-grade solutions using LLMs, embeddings, RAG architectures, vector databases, memory systems, and agent orchestration frameworks.
Develop prompt engineering approaches, evaluation strategies, and guardrails to improve quality, safety, and reliability.
Optimize latency, accuracy, cost, and scalability of deployed AI systems.
Troubleshoot performance issues and conduct root-cause analysis across distributed AI services and integrations.

What you’ll bring

All qualifications

Core experience

  • 5+ years of software engineering experience, including 2+ years building AI/ML-powered applications in production environments.
  • Experience building agentic AI systems, copilots, multi-agent workflows, or autonomous enterprise applications.
  • Strong proficiency in Python and experience designing backend systems and APIs.
  • Experience with AI evaluation frameworks, LLM observability, AI governance, and responsible AI practices.
  • Experience with LLMs, agent frameworks, RAG architectures, vector databases, embeddings, and AI orchestration platforms.
  • Experience with Azure, AWS, or GCP AI ecosystems.
Qualification wording
5+ years of software engineering experience, including 2+ years building AI/ML-powered applications in production environments.
Experience building agentic AI systems, copilots, multi-agent workflows, or autonomous enterprise applications.
Strong proficiency in Python and experience designing backend systems and APIs.
Experience with AI evaluation frameworks, LLM observability, AI governance, and responsible AI practices.
Experience with LLMs, agent frameworks, RAG architectures, vector databases, embeddings, and AI orchestration platforms.
Experience with Azure, AWS, or GCP AI ecosystems.

About IFS

TheLoops, an IFS company, is the first enterprise-grade AI Agent platform built for mission-critical applications and industries.

In the employer’s words · Read in context

Apply at IFS

Posting record

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Status in our records
Live
First seen by us
Nov 5, 2026today
Recorded sightings
2
Last seen by us
Nov 6, 2026
Reposted
once since Aug 28, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.

How this job compares

Pay

In line with similar jobs

$170K–$185K against $166K–$240K, the middle half of what similar US postings state.

From 1,319 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 0

Early. Similar jobs usually come down between day 6 and day 71.

At IFS, jobs usually come down by about day 28.

From 4,610 similar postings that came down, and 19 of IFS’s. Coming down is not always a hire.

IFS is hiring

3 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring is picking up
  • Takes jobs down at a usual pace
  • 33% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • AWS
  • Azure
  • GCP
  • Hugging Face
Where the posting names them
- 5+ years of software engineering experience, including 2+ years building AI/ML-powered applications in production environments. - Strong proficiency in Python and experience designing backend systems and APIs. - Experience with LLMs, agent frameworks, RAG architectures, vector databases, embeddings, and AI orchestration platforms.
- Experience with AI evaluation frameworks, LLM observability, AI governance, and responsible AI practices. - Experience with Azure, AWS, or GCP AI ecosystems. - Experience integrating enterprise platforms such as ERP, CRM, ITSM, HR, Finance, or Developer ecosystems.
- Experience with LLMs, agent frameworks, RAG architectures, vector databases, embeddings, and AI orchestration platforms. - Hands-on experience with technologies such as OpenAI, Azure AI, Anthropic, Hugging Face, LangChain, LangGraph, Semantic Kernel, Pinecone, Weaviate, or equivalent platforms. - Solid understanding of software architecture, cloud-native development, microservices, and scalable system design.

Your next step

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Has IFS posted this job before?

Yes. We’ve followed one other Senior AI/Machine Learning Engineer - Python | TheLoops job there since August 2026. It came down after 70 days.

  1. Palo AltoCame down after 70 days, first seen Aug 28
  2. This jobUp 1 day so far, first seen Nov 5

Demand for ML Engineer roles

New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.

Weekly new ML Engineer postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 624, the most 1,094, and the latest week had 870.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under ML Engineer, by the work the posting describes.

ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.

Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.

A data scientist often works out which model to build; an ML engineer makes it run reliably in production.

US government figures for computer and information research scientists

Median yearly pay, May 2025
$140,300
Expected change, 2025 to 2035
21.8% more jobsagainst 3.5% for all jobs

The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.

Job description

View original posting ↗

Job Description

As a Senior AI/ML Engineer, you will design, develop, and deploy enterprise-scale AI systems that power intelligent agents, copilots, and autonomous workflows. You will combine strong software engineering expertise with advanced AI/ML knowledge to build scalable, production-grade solutions leveraging LLMs, agent frameworks, retrieval systems, and modern cloud platforms.

In this role, you will work closely with engineering, product, and domain experts to deliver high-quality AI solutions that drive measurable business value. You will contribute to the evolution of our AI platform by building reliable, secure, observable, and scalable systems while helping establish engineering best practices and sharing technical expertise with the broader team.

What You'll Do

AI Platform & Systems Development

  • Design and implement scalable AI services and platform capabilities that support intelligent agents and enterprise workflows.
  • Build reusable SDKs, APIs, orchestration layers, and shared services that accelerate AI application development.
  • Contribute to architectural discussions and technical design reviews.
  • Develop solutions that meet requirements for reliability, observability, security, and scalability.

Advanced Applied AI Engineering

  • Design and implement production-grade solutions using LLMs, embeddings, RAG architectures, vector databases, memory systems, and agent orchestration frameworks.
  • Evaluate and integrate emerging AI technologies, foundation models, and agent frameworks where appropriate.
  • Develop prompt engineering approaches, evaluation strategies, and guardrails to improve quality, safety, and reliability.
  • Implement evaluation frameworks and AI quality metrics to measure system performance and business outcomes.
  • Optimize latency, accuracy, cost, and scalability of deployed AI systems.

Engineering Excellence & Delivery

  • Deliver complex AI initiatives from design through production deployment.
  • Apply best practices for testing, CI/CD, infrastructure automation, monitoring, and operational readiness.
  • Troubleshoot performance issues and conduct root-cause analysis across distributed AI services and integrations.
  • Ensure solutions align with enterprise requirements for governance, compliance, and security.

Collaboration & Technical Contribution

  • Collaborate with engineers, product managers, architects, and domain experts to translate business requirements into scalable technical solutions.
  • Provide technical guidance and share knowledge with team members.
  • Contribute to technical documentation, design reviews, and engineering best practices.
  • Support continuous improvement of development processes, tooling, and platform capabilities.

Qualifications

Required

  • 5+ years of software engineering experience, including 2+ years building AI/ML-powered applications in production environments.
  • Strong proficiency in Python and experience designing backend systems and APIs.
  • Experience with LLMs, agent frameworks, RAG architectures, vector databases, embeddings, and AI orchestration platforms.
  • Hands-on experience with technologies such as OpenAI, Azure AI, Anthropic, Hugging Face, LangChain, LangGraph, Semantic Kernel, Pinecone, Weaviate, or equivalent platforms.
  • Solid understanding of software architecture, cloud-native development, microservices, and scalable system design.
  • Experience building and operating production applications in cloud environments.
  • Strong problem-solving, debugging, and performance optimization skills.
  • Effective communication and collaboration skills.

Preferred

  • Experience building agentic AI systems, copilots, multi-agent workflows, or autonomous enterprise applications.
  • Experience with AI evaluation frameworks, LLM observability, AI governance, and responsible AI practices.
  • Experience with Azure, AWS, or GCP AI ecosystems.
  • Experience integrating enterprise platforms such as ERP, CRM, ITSM, HR, Finance, or Developer ecosystems.
  • Experience mentoring junior engineers or supporting technical onboarding.

What Success Looks Like in 3-6 Months

Technical Impact

  • You are delivering high-quality AI services and features that are adopted by internal teams and customers.
  • You consistently contribute well-designed, maintainable, and scalable solutions to the AI platform.

Delivery Excellence

  • You have successfully delivered key AI capabilities from concept through production.
  • Your work improves system performance, reliability, scalability, and operational efficiency.

AI Innovation

  • You have deployed advanced AI capabilities that enhance user experiences and business outcomes.
  • You have contributed evaluation, monitoring, and optimization mechanisms that improve solution quality and reliability.

Team Contribution

  • You actively collaborate across engineering and product teams.
  • You share technical knowledge, provide guidance to teammates when needed, and contribute to a strong engineering culture.
  • You are viewed as a trusted technical contributor who consistently delivers impactful results.

Additional Information

At IFS you will work in a growing, global enterprise software company where informal hierarchies promote simplicity and trust with responsibility. We strive to deepen our expertise by taking on challenging and varying work assignments in a collaborative environment together with committed colleagues.

With professionalism and a strong customer focus in everything we do, from R&D to Sales and Consultancy, we are proud to serve world-class customers all over the globe with our leading products.

If you want to change the status quo, we'll help you make your moment. Join Team Purple. Join IFS.

 

What We’re Offering

  • Salary Range:  $170,000 to $185,000 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

Company Description

IFS is a billion-dollar revenue company with 7000+ employees on all continents. Our leading AI technology is the backbone of our award-winning enterprise software solutions, enabling our customers to be their best when it really matters–at the Moment of Service™. Our commitment to internal AI adoption has allowed us to stay at the forefront of technological advancements, ensuring our colleagues can unlock their creativity and productivity, and our solutions are always cutting-edge.

About TheLoops

TheLoops, an IFS company, is the first enterprise-grade AI Agent platform built for mission-critical applications and industries. Our AI Agents act as digital coworkers that are governed, secure, always learning, and working 24/7 to drive measurable business outcomes. 

As the company grows, it is looking for mission-driven individuals to help deliver the future of AI-powered operations.

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Pay
What We’re Offering Salary Range: $170,000 to $185,000 plus bonus potential Flexible paid time off, including sick and holiday
Location & working pattern

Palo Alto, California, United States

Working pattern and location restrictions need checking in the full posting.

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