Senior AI/Machine Learning Engineer - Python | TheLoops

Location: Palo Alto, California, United States; hybrid

Salary: USD 170,000–185,000 yearly, plus bonus potential

Company

hirify.global is an enterprise software company developing AI-powered solutions for mission-critical business operations. TheLoops, an hirify.global company, provides an enterprise-grade AI Agent platform for secure, governed, continuously learning digital coworkers.

What you will do

• Design and implement scalable AI services and platform capabilities for intelligent agents and enterprise workflows.
• Build reusable SDKs, APIs, orchestration layers, and shared services for AI application development.
• Develop production-grade solutions using LLMs, embeddings, RAG architectures, vector databases, memory systems, and agent orchestration frameworks.
• Create prompt engineering approaches, evaluation strategies, guardrails, and AI quality metrics.
• Deliver complex AI initiatives from design through production, applying testing, CI/CD, infrastructure automation, monitoring, and operational readiness.
• Collaborate with engineering, product, architecture, and domain teams while providing technical guidance and contributing to design reviews and engineering practices.

Requirements

• 5+ years of software engineering experience, including 2+ years building AI/ML-powered applications in production environments.
• Strong Python proficiency 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.

Nice to have

• 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 ERP, CRM, ITSM, HR, Finance, or Developer enterprise platforms.
• Experience mentoring junior engineers or supporting technical onboarding.

Culture & Benefits

• Flexible paid time off, including sick and holiday leave.
• Medical, dental, and vision insurance; life insurance and disability benefits.
• 401(k) with company contribution and flexible spending accounts.
• Tuition assistance and community involvement or volunteering events.
• Collaborative environment with informal hierarchies, professional development, and challenging work assignments.