Senior AI/Machine Learning Engineer - Python | TheLoops

IFS; Palo Alto (CA); On-site; USD 170,000 - 185,000; Full time

Benefits offered by this job

Medical, dental, & vision insurance

401K with company contribution

Flexible paid time off

Tuition assistance

Community involvement

Job summary

IFS, a leading enterprise software company, is seeking 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 with AI/ML to build scalable, production-grade solutions on cloud platforms.

You will collaborate with engineering, product, and domain experts to deliver measurable business value, ensuring reliability, security, and observability across the AI platform.

Qualifications

• 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.
• 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.

Responsibilities

• 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.
• 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.
• 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.
• 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.

Skills

Python

APIs

LLMs

Agent frameworks

RAG architectures

Vector databases

Embeddings

AI orchestration platforms

Cloud-native

Microservices

Production applications

Troubleshooting

Communication

Tools

OpenAI

Azure AI

Anthropic

Hugging Face

LangChain

LangGraph

Semantic Kernel

Pinecone

Weaviate

Job 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

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