Senior AI/Machine Learning Engineer - Python | TheLoops

Location: Palo Alto, California, United States

Salary: $170,000–$185,000 per year, plus bonus potential

Company

hirify.global is an enterprise software company developing TheLoops, an enterprise-grade AI Agent platform for mission-critical applications and industries.

What you will do

• Design and develop 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 frameworks.
• Create prompt engineering approaches, evaluation frameworks, quality metrics, guardrails, and observability mechanisms.
• Deliver AI initiatives from design through production deployment while improving latency, accuracy, cost, reliability, and scalability.
• Collaborate with engineering, product, architecture, and domain teams to translate business requirements into secure, governed technical solutions.

Requirements

• 5+ years of software engineering experience, including 2+ years building AI/ML-powered applications in production.
• 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 platforms such as OpenAI, Azure AI, Anthropic, Hugging Face, LangChain, LangGraph, Semantic Kernel, Pinecone, or Weaviate.
• Understanding of software architecture, cloud-native development, microservices, scalable system design, testing, CI/CD, monitoring, and infrastructure automation.
• Strong problem-solving, debugging, performance optimization, 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 and enterprise platforms such as ERP, CRM, ITSM, HR, Finance, or developer ecosystems.
• Experience mentoring junior engineers or supporting technical onboarding.

Culture & Benefits

• Flexible paid time off, including sick and holiday leave.
• Medical, dental, and vision insurance.
• 401K with company contribution, flexible spending accounts, life insurance, and disability benefits.
• Tuition assistance and community involvement opportunities.
• Collaborative environment with informal hierarchies, professional development, and challenging technical assignments.