Senior AI/Machine Learning Engineer - Python | TheLoops

Posted 9 Days Ago
Palo Alto, CA, USA
Hybrid
170K-185K Annually
Senior level
Information Technology • Software
The Role
Design, develop, and deploy enterprise-scale AI systems powering intelligent agents, copilots, and autonomous workflows. Build production-grade LLM, RAG, vector database, and agent orchestration solutions; develop APIs, SDKs, and platform services; and optimize reliability, latency, security, cost, and scalability. Lead initiatives through production, implement testing, CI/CD, monitoring, and governance, troubleshoot distributed systems, collaborate cross-functionally, contribute to architecture and documentation, and mentor or guide team members.
Summary Generated by Built In
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.

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

Skills 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 OpenAI, Azure AI, Anthropic, Hugging Face, LangChain, LangGraph, Semantic Kernel, Pinecone, Weaviate, or equivalent platforms.
  • 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.
  • 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.

IFS Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about IFS and has not been reviewed or approved by IFS.

  • Retirement Support Retirement support is presented as part of the package in North America through a 401(k) plan and references to pension/defined contribution arrangements in some contexts.
  • Healthcare Strength Healthcare coverage is described as available in some regions, including health, dental, life, and disability insurance offerings.
  • Strong & Reliable Incentives Variable pay elements such as monthly bonuses and profit sharing are described as meaningful in certain roles, with bonuses tied to performance outcomes like reduced downtime.

IFS Insights

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The Company
HQ: Linköping
6,788 Employees
Year Founded: 1983

What We Do

IFS develops and delivers enterprise software for companies around the world who manufacture and distribute goods, build and maintain assets, and manage service-focused operations. Within our single platform, our industry specific products are innately connected to a single data model and use embedded digital innovation so that our customers can be their best when it really matters to their customers – at the Moment of Service. The industry expertise of our people and of our growing ecosystem, together with a commitment to deliver value at every single step, has made IFS a recognized leader and the most recommended supplier in our sector. Our team of 5,000 employees every day live our values of agility, trustworthiness and collaboration in how we support our 10,000+ customers. Learn more about how our enterprise software solutions can help your business today at ifs.com. Follow us on Twitter: @ifs Facebook: www.facebook.com/ifsdotcom Instagram: www.instagram.com/ifsdotcom Visit the IFS Blog on technology, innovation and creativity: https://blog.ifs.com/

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