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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior AI/Machine Learning Engineer - Python | TheLoops - **Company:** IFS North America - **Location:** Palo Alto, CA, United States - **Experience:** Expert - **Salary:** $80,348.0 - $117,111.0 - **Contract:** Temporary contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Automated Storage and Retrieval Systems, Microsoft Azure, Cloud Computing, Cloud Engineering, Continuous Integration, Software Debugging, Python (Programming Language), Machine Learning, Performance Tuning, Software Architecture, Systems Development Life Cycle, Software Deployment, Software Engineering, Systems Integration, Software Technical Review, Enterprise Software Applications, Cloud Platform System, Large Language Models, Multi-Agent Systems, Prompt Engineering, Backend, AI Platforms, Infrastructure Automation Frameworks, HuggingFace, Virtual Agents, Microservices - **Published:** August 29, 2026 - **Apply:** https://www.jofdav.com/jobs/59439712-senior-ai-machine-learning-engineer-python-theloops ## About the Role 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. ## 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., * 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. ## Related Videos - [Navigating the AI Revolution in Software Development](https://www.wearedevelopers.com/videos/1266-navigating-the-ai-revolution-in-software-development) - [This App Reached 10,000 Users in One Week. Here's How.](https://www.wearedevelopers.com/videos/100329-this-app-reached-10-000-users-in-one-week-here-s-how) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [On a Secret Mission: Developing AI Agents](https://www.wearedevelopers.com/videos/1510-on-a-secret-mission-developing-ai-agents) - [From AI Assistance to Agentic Systems: Scaling Sovereign AI in Banking](https://www.wearedevelopers.com/videos/100070-from-ai-assistance-to-agentic-systems-scaling-sovereign-ai-in-banking) - [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path)