AI Engineer

This role sits at the intersection of AI engineering, data scientist, developer enablement, and customer engagement. You will partner with Product, Engineering, Applied Science, and AI Platform teams to support implementation decisions, accelerate AI adoption, and help teams adopt reusable AI engineering patterns and implementation best practices.

This is a deeply hands-on role focused on building, prototyping, and iterating on AI-powered experiences. The ideal candidate combines strong software engineering fundamentals with practical experience deploying LLM applications, agent systems, and AI-native workflows in production environments.

What you’ll do

Start with customers

•     Spend real time with lawyers, legal operations teams, and our internal subject-matter experts — in their offices, on their calls, watching their workflows. Develop a strong understanding of customer workflows and operational challenges through direct engagement.

•     Translate ambiguous, half-formed customer pain into crisp problem statements the team can build against.

•     Collaborate closely with customers and internal stakeholders to prototype, validate, and refine AI-powered workflows and user experiences based on customer feedback and observed user needs.

•     Bring the customer voice back into our roadmaps, our model choices, and our trade-offs.

•     Occasional travel to customer sites may be required to better understand workflows and gather product feedback.

Build AI-powered applications and workflows

• Contribute to AI-powered applications and workflows for legal and business use cases, including leveraging existing RAG pipelines, research assistants, and related AI capabilities developed by ML engineering teams.
• Implement and iterate on LLM application capabilities such as prompt engineering, multi-step workflows, tool calling, and lightweight agent patterns in collaboration with machine learning engineering teams.
• Contribute to scalable orchestration layers for prompting, retrieval, and tool integration across AI services.
• Work with frameworks such as LangChain, LangGraph, LlamaIndex, MCP/A2A, OpenAI SDKs, Google ADK, and/or Anthropic/Claude APIs to prototype and productionize AI capabilities.
• Participate in experimentation, testing, and performance optimization activities for LLM-based applications in production environments.

Contribute to AI Engineering Enablement

• Support adoption of AI engineering practices by helping software engineering teams incrementally integrate machine learning and generative AI capabilities into existing products and workflows, in collaboration with AI/ML engineering teams.
• Promote reusable AI/ML engineering standards, tooling, and best practices that reduce friction for teams adopting AI and machine learning technologies, while aligning with recommendations from data science and AI platform teams.
• Help software engineers expand their capabilities in ML-oriented development for applicable use cases without requiring deep data science specialization.
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Qualifications:

Required qualifications

• 6+ years of experience as a Software Engineer, AI Engineer, Platform Engineer, or related technical role.
• Strong production experience building LLM-powered applications and deployment at scale.
• Strong programming skills in Python and experience building scalable production services and APIs.
• Experience designing and implementing AI application architectures in cloud-native environments.
• Hands-on experience with modern AI engineering frameworks and tooling such as LangChain, LangGraph, LlamaIndex, OpenAI APIs, Anthropic APIs, MCP, or equivalent systems.
• Experience building AI workflows involving retrieval, tool calling, orchestration, context management, and structured generation.
• Familiarity with AI observability, evaluation frameworks, and production monitoring.
• Experience deploying and operating AI systems on AWS, Azure, or GCP.
• Comfortable working in evolving environments and collaborating across teams to deliver AI-powered features and workflows.
• Strong communication and collaboration skills with the ability to work effectively across engineering, product, and business teams.
• Experience contributing to production systems and collaborating on practical implementation trade-offs.

Preferred qualifications

• Experience in legal technology, enterprise SaaS, compliance, financial services, healthcare, or other regulated industries.
• Experience building AI copilots, AI assistants, workflow automation systems, or multi-agent platforms.
• Familiarity with developer platforms, SDK development, API productization, or AI platform engineering.
• Experience facilitating technical workshops, hackathons, or developer enablement initiatives.
• Strong understanding of AI UX and conversational workflow system design.
• Experience with AI evaluation, guardrails, policy enforcement, and responsible AI deployment.
• Familiarity with inference optimization, LLM serving infrastructure, or AI infrastructure tooling.
• Full-stack or frontend engineering experience for rapid prototyping and developer experience optimization.
• Open-source contributions, technical blogging, conference speaking, or AI engineering community involvement.

Compensation

About Us

Technology Doesn't Change the World, People Do.^®

Robert Half is the world’s first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles.

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