Product Solutions Architect - LLM Observability
AI Solutions Engineer
2 open positions across the agentic economy
An AI Solutions Engineer is the technical bridge between an AI vendor and its enterprise customers — running proofs of concept, integrating models into customer stacks, and feeding deployment learnings back to product. Unlike traditional Sales Engineers, the role is heavier on writing code: you build reference agent implementations, debug RAG pipelines on customer data, and own the technical close on six-figure deals. Frontier labs (Anthropic, OpenAI), infra vendors (Pinecone, LangChain), and applied AI startups all hire heavily for this title.
What Is an MCP Engineer? The New Role Behind Agent Tool Use (2026 Guide)
MCP Engineers own the layer between AI agents and the tools they use — a specialization that emerged in 2025 and hardened into a real profession in 2026. Here is what the role is, who is hiring, and what it pays ($180K-$450K).
CareersHow to Become an AI Agent Developer: The 2026 Roadmap
A staged 12-month path from software-engineer baseline to hireable AI Agent Developer in 2026 — what to learn, what to build, how to evaluate your own work, and the mistakes that keep most self-taught candidates stuck at junior.
IndustryWhat Is an AI Evaluation Engineer? The 2026 Career Guide
AI Evaluation Engineer went from niche to one of the fastest-growing 2026 specializations because agents in production cannot ship what they cannot measure. Here is the role, the skill stack, and the $180K-$700K compensation range.
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