> Markdown version of [/jobs/ext/2695707-ai-machine-learning-engineer-python-loops](https://www.wearedevelopers.com/jobs/ext/2695707-ai-machine-learning-engineer-python-loops). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI/Machine Learning Engineer - Python - Loops - **Company:** IFS - **Location:** Palo Alto, CA, United States - **Experience:** Experienced - **Salary:** $130,000.0 - **Contract:** Temporary contract - **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Systems Engineering, Software Quality, Continuous Integration, Software Debugging, JSON, Python (Programming Language), Machine Learning, Tensorflow, Systems Integration, TypeScript, Enterprise Software Applications, Delivery Pipeline, Large Language Models, Prompt Engineering, Reliability of Systems, Backend, Scikit Learn, HuggingFace, Performance Monitor, Virtual Agents, Restful APIs, Data Pipelines, Web Api - **Published:** September 3, 2026 - **Apply:** https://www.wayup.com/i-j-AI-Machine-Learning-Engineer-Python-Loops-IFS-510454456834125/ ## About the Role + 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. ## Description 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. What You'll Do: + 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. ## Related Videos - [Tips and Tricks for Working with JSON](https://www.wearedevelopers.com/videos/1229-tips-and-tricks-for-working-with-json) - [Web APIs you might not know about](https://www.wearedevelopers.com/videos/281-web-apis-you-might-not-know-about) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [The Software Engineer 2030: From Coder To AI Orchestrator? - Patrick Schnell](https://www.wearedevelopers.com/videos/1825-the-software-engineer-2030-from-coder-to-ai-orchestrator-patrick-schnell) - [Introducing JSON Structure](https://www.wearedevelopers.com/videos/100219-introducing-json-structure) - [The AI-Native Engineering Org: What’s Real, What’s Hype, What’s Next](https://www.wearedevelopers.com/videos/100004-the-ai-native-engineering-org-what-s-real-what-s-hype-what-s-next) ## 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) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Transforming Software Development: The Role of AI and Developer Tools](https://www.wearedevelopers.com/magazine/527-transforming-software-development-the-role-of-ai-and-developer-tools)