Senior AI Product Engineer | Growth and Transformation

Red Ventures • Charlotte, NC

3d • $100,000 - $180,000 • Hybrid

About The Position

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, TypeScript 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.

Requirements

• 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 TypeScript (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

Nice To Haves

• Experience building and shipping agentic systems in production: multi-step tool-calling agents, orchestration pipelines (LangGraph, LangChain, AutoGen, 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, code graph construction
• Background in developer platform or internal tooling engineering
• Experience with eval frameworks: RAGAS, LangSmith, Braintrust, or custom evaluation infrastructure
• Familiarity with event-driven architectures, message queuing (Kafka, SQS), and distributed systems patterns
• Experience with data platforms, ETL pipelines, or personalization systems at scale
• Active contributions to open source or technical community leadership

Responsibilities

• Ship Product & Platform Features
• 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 + TypeScript, 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 GitHub Actions, Terraform, and AWS
• Build AI Into the Platform
• Design and ship multi-agent systems using LangGraph, AutoGen, 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
• Multiply the Team’s Output
• 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
• Raise the Engineering Bar
• 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

Benefits

• Health Insurance Coverage (medical, dental, and vision)
• Life Insurance
• Short and Long-Term Disability Insurance
• Flexible Spending Accounts
• Holiday Pay
• 401(k) with match
• Employee Assistance Program
• Paid Parental Bonding Benefit Program
• Flexible Paid Time Off (PTO): We believe time to rest and recharge is essential. That’s why we offer a generous and flexible PTO policy. Full-time employees accrue 20 days of PTO for a full calendar year annually, with an increase to 25 days after five years of service.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 501-1,000 employees