Staff ML Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, construct, and launch production-ready AI agents and agentic workflows that are integrated with enterprise applications and business processes.

• Develop evaluation, monitoring, guardrail, and safety frameworks for applications powered by large language models (LLMs).

• Architect and implement scalable AI-driven capabilities within the current Java/Spring platform and distributed microservices environment.

• Establish engineering best practices for AI Agent systems, covering observability, testing, deployment, versioning, and operational excellence.

• Lead architectural decisions across AI services, microservices, APIs, and integrations with enterprise applications.

• Collaborate with AI Scientists and ML Engineers to bring models into production and convert experimental work into reliable software.

• Mentor engineers, conduct architectural reviews, and shape technical strategy across various teams.

• Assess emerging AI technologies and propose pragmatic adoption strategies to enhance product capabilities and developer productivity.

⛳️ Requirements

• Bachelor's degree in Computer Science, Engineering, or a related technical discipline, or equivalent practical experience.

• Over 8 years of professional software engineering experience, including leading intricate technical initiatives in distributed systems.

• Strong expertise in Python, Java, and the Spring ecosystem, including Spring Boot and Spring Framework.

• Experience in building and evolving enterprise-scale applications.

• Profound knowledge in creating scalable, production-grade AI-enabled applications and distributed systems.

• Experience in architecting and deploying AI agents, agentic workflows, and LLM-powered applications at an enterprise level.

• Practical experience in integrating AI capabilities into existing enterprise applications.

• Extensive experience in designing and deploying production-quality LLM applications using technologies such as LangChain, LangGraph, Spring AI, Model Context Protocol (MCP), or similar.

• Strong understanding of Retrieval-Augmented Generation (RAG), tool calling, MCP, prompt engineering, and agent orchestration.

• Expertise in observability, CI/CD, automated testing, and production operations for AI applications.

• Proven ability to navigate ambiguity, mitigate technical risk, and influence architectural direction across cross-functional teams.

• Excellent communication, collaboration, and mentoring abilities.

• Preferred experience with Databricks, vector search technologies, embedding models, conversational AI, and evaluation strategies for AI agents.

• Preferred experience in building AI infrastructure, developer tooling, and platform capabilities.

• Preferred experience in architecting and maintaining large-scale Java microservices using Spring Boot.

• Preferred experience with AWS, Azure, or GCP, Kubernetes, and containerized deployments.

• Preferred familiarity with model serving, inference optimization, caching strategies, and cost optimization for enterprise AI systems.

🏝️ Benefits

• Competitive benefits package.

• Discretionary bonus or commission linked to achieved results.

• Reasonable accommodations for qualified individuals with disabilities or disabled veterans during the hiring process.