Senior AI Product Engineer | and Transformation

This role is not open to visa sponsorship or transfer of visa sponsorship including those on H1-B, F-1, OPT, STEM-OPT, or TN visa, nor is it available to work corp-to-corp.

This role requires a hybrid schedule and will be based in our South Charlotte, NC or New York, NY office (Tuesday through Thursday) and optional remote days on Mondays and Fridays each week.

We’re hiring a Senior Engineer who builds with AI by default. Someone for whom agentic tools are the IDE, not the side project. You’ll own the technical direction of our personalization and data platform, built on Go microservices, Type Script applications, and Python-based AI agents. Your job is to ship product features, make the platform smarter and faster, and raise the bar for how the team builds software.

You’re a senior IC with tech‑lead scope: you own technical direction for your domain, influence architecture decisions across the team, and lead by building, not by org chart.

• Architect and evolve the personalization and data platform powering our consumer experiences
• Design high-performance backend services in Go and full‑stack features in React + Type Script, built for scalability, observability, and maintainability
• Build RAG pipelines, semantic search, and LLM‑powered product features, including embedding models, vector stores, reranking, and eval‑driven quality loops
• Drive CI/CD and infrastructure maturity via Git Hub Actions, Terraform, and AWS

• Design and ship multi‑agent systems using Lang Graph, Auto Gen, or custom orchestration that operate across the development lifecycle
• Break down our multi‑language codebase into AI‑addressable, agent‑ready modules: clean interfaces, well‑scoped context, documented patterns
• Own the agentic development scaffolding: tool integrations, MCP servers, and shared infrastructure that make every engineer on the team more effective

• Use agentic coding tools (Claude Code, Codex, Cursor, or whatever’s next) as co‑engineers, not autocomplete, and help the team do the same
• Build shared configurations, custom tool integrations, and workflow hooks that encode team conventions and eliminate repeated decisions
• Spot opportunities to automate engineering toil (test generation, PR summarization, migration scripts, dependency upgrades, documentation) and build the tooling to make it happen
• Track and share measurable productivity gains with engineering leadership

• Run pairing sessions, internal demos, and workshops that build real AI capability across the team
• Define practical AI engineering standards: prompt engineering practices, context window management, human‑in‑the‑loop thresholds, and eval frameworks
• Mentor mid‑level and junior engineers on how to build effectively with AI as a core skill
• Partner with Engineering Leadership to shape the AI adoption roadmap across the portfolio

• An established AI‑native development practice: agentic tools are part of your daily workflow, with results to show for it. Faster delivery, fewer manual steps, higher output
• 6+ years of software engineering experience with a track record of technical leadership on complex systems
• Expert in Type Script (frontend and backend) and production‑grade Go for high‑performance services
• Strong React and modern frontend architecture experience
• Hands‑on experience with LLM APIs (Anthropic Claude preferred): prompt engineering, tool use, structured outputs, streaming, context management
• Solid understanding of RAG architecture: vector stores, chunking strategies, embedding models, reranking, eval loops
• Experience with CI/CD, Terraform, and AWS in a production engineering context

• Experience building and shipping agentic systems in production: multi‑step tool‑calling agents, orchestration pipelines (Lang Graph, Lang Chain, Auto Gen, CrewAI, or custom)
• Familiarity with agentic coding CLI tools and workflow automation that encodes team patterns at the repo level
• Knowledge of MCP (Model Context Protocol) and experience building or integrating MCP servers
• Experience with code intelligence: AST parsing, static analysis,…