Type

Full-time

Location

Remote

Reports to

Miles Hischier, Co-founder, CCA-P

Compensation

To be discussed

The role

You are the person who makes AI work inside a client's actual environment, with their real data, their legacy systems, their compliance constraints, and their skeptical operations manager who has seen three failed software rollouts already.

The gap between a demo that impresses a CFO and a system that runs unattended on Monday morning is enormous, and this role exists to own that gap. You'll embed with a client for weeks at a time, build the thing, get it into production, and then train their people to run it without you.

A concrete example of the work: one of our engagements is an AI-assisted workflow that drafts sales recap emails with a pricing recommendation attached. The design that shipped puts the pricing math and plan-threshold rules in deterministic code, uses Claude to extract signals from call transcripts and narrate the recommendation, screens every output fail-closed (versus fail-open), and gates the send behind an explicit human approval. If that division of labor strikes you as correct, where code decides, the model writes prose, and a human authorizes the irreversible action, you'll recognize how we're building for our clients.

What you'll do

• Sit with client teams to find the workflows where an agent actually pays for itself, and say so plainly when one doesn't
• Work with a client to design and ship production agent systems using the Claude Agent SDK, deployed on Vertex AI within the client's own Google Cloud project
• Split every system into its deterministic and model-based parts before writing a line of it: rules and math live in code, judgment and prose live in the model, and irreversible actions live behind a human gate
• Integrate agents with the systems clients already run: Google Workspace, BigQuery, CRMs, ticketing systems, internal APIs
• Build evaluation suites alongside the first version, not after it. Create golden datasets from real client history, code-graded checks for rules and math, and model-graded checks for quality, so we can prove a system works before it touches production, and catch it when it drifts afterward
• Own the unglamorous middle: auth, error handling, retrieval scoping, cost controls, logging, permissions, and rate limits, with support from your HiView colleagues and client team resources
• Hand off properly, documentation, runbooks, escalation paths, and live training so the client's team owns the system when you leave
• Deliver hands-on enablement sessions from our training catalog: advanced Claude Code workflows, Skills, plugins and versioning, and agent pattern selection, each with a takeaway artifact the client keeps
• Feed what you learn back into our frameworks and company playbooks

What we're looking for

• 4+ years writing production software in Python or TypeScript, with real ownership of things that ran and broke and got fixed
• Hands-on experience building LLM-backed systems that went to production, not pilots, not notebooks
• Working knowledge of the Anthropic stack: the Claude Agent SDK, tool use, MCP, prompt caching, and structured outputs
• Interest in developing your own skillset with expanded Claude and Google Cloud certifications, time will be allocated in your role for this
• The judgment to tell a client that the thing they asked for is the wrong thing to build
• Solid cloud fundamentals; working knowledge of GCP accepted, GCP pros will be prioritized

How to apply

Send a resume and links to anything you've built with agents. If you have a repo using the Agent SDK or an MCP server you've shipped, lead with that, it tells us more than a cover letter will.

Email your application to careers at hiviewsolutions dot com.

Type

Contract

Location

Remote

Reports to

Miles Hischier, Co-founder, CCA-P

Compensation

To be discussed

The role

Same work as our full-time FDE role, structured for someone who wants to stay independent. We're building a bench of contractors we can bring onto specific client engagements as our Anthropic practice ramps.

You'd come in on a defined scope: build this agent system, integrate it with these systems, get it to production, train their team, with a clear SOW, a clear deliverable, and a clear end date. Engagements often lead to follow-on work, but each one stands on its own.

You won't be improvising the approach. Every engagement runs on our delivery playbooks: phased build plans with a definition of done per phase, evaluation gates before anything reaches a live user, and handoff checklists, all built on Anthropic's Claude Certified Architect framework. You bring the engineering; the methodology is already on the shelf.

What a typical engagement looks like

• Two weeks of discovery and scoping alongside HiView's architect: source inventory, retrieval allowlists, and the split between what code decides and what the model writes
• Four to eight weeks of build, in a deliberate order: the deterministic core first, proven in isolation; the eval stood up alongside it as the change gate; then the model-based layer; then fail-closed guardrails and output screening; then the human-approval gate on anything irreversible
• A piloted rollout behind full logging, accuracy, edit rates, and screening blocks, before anything scales
• Two weeks of handoff: documentation, runbooks, and training the client's team
• Defined checkpoints with HiView and the client at each phase

What we're looking for

• Demonstrated production experience building agentic systems, you can point to systems currently running
• Strong Python or TypeScript, plus fluency with the Claude Agent SDK and MCP
• Comfort working inside a prescribed methodology, the phase gates and eval bars are our standards
• Prior independent contracting experience. You scope your own work, communicate proactively, and don't need daily supervision
• Client-facing polish. You'll be representing HiView on remote calls and possibly during in-person travel
• Availability for at least one engagement per quarter (three-month minimum availability is ideal)

Terms

• You control how and when the work gets done, subject to SOW milestones and client site requirements
• You provide your own equipment, insurance, and tax handling; we issue a 1099
• IP created under each SOW is assigned to HiView or the end client, specified per engagement
• Mutual NDA and a master services agreement before the first engagement
• We do not require exclusivity. Work with whoever else you like, absent a specific conflict

How to apply

Send your resume, rate expectations, and two examples of production agent work. Include your availability window.

Email your application to careers at hiviewsolutions dot com.

Type

Contract

Location

Remote

Reports to

Miles Hischier, Co-founder, CCA-P

Compensation

To be discussed

The role

This is the build-focused seat. Where our FDEs live inside client environments, you'll spend most of your time writing the code, agent systems, MCP servers, evaluation harnesses, and the internal tooling that lets a small team deliver like a larger one.

The Claude Agent SDK gives you the same agent loop, tool execution, and context management that powers Claude Code, programmable in Python and TypeScript. Your job is to turn that into systems that survive contact with messy client data and keep running after we've gone home.

It's worth being clear about what this role is not: it's closer to platform engineering than to ML research. You won't be training models. You'll be designing subagent architectures, writing tool definitions, managing context across long-running tasks, and building the eval suites that tell us whether any of it works.

How we build, so you can decide whether it's how you build: the deterministic core ships first and gets proven in isolation; evals stand up alongside it as the change gate, not after it; the model layer adds judgment without owning decisions; guardrails fail closed; and nothing irreversible happens without a human approving it. Solve reliably first, innovate second.

What you'll do

• Build production agent systems with the Claude Agent SDK: subagent orchestration, hooks, permission design, and context management
• Write MCP servers connecting Claude to client systems: Workspace, BigQuery, CRMs, internal APIs, and third-party SaaS
• Build and maintain evaluation suites and regression tests for agent behavior: golden datasets built from client history, code graders for anything with a right answer (thresholds, math, required structure), model graders for quality and grounding, and pass bars wired to run on every change. This is a first-class part of the job, not an afterthought
• Implement the guardrail layer: retrieval allowlists that treat fetched content as data rather than instructions, fail-closed output screening, and stakes-by-confidence routing to human review
• Deploy and operate agents on Vertex AI inside client Google Cloud projects, with attention to cost, latency, and token spend, including right-sizing model tier to task rather than defaulting everything to the biggest model
• Develop our internal accelerators: the reusable components, reference implementations, and framework docs that make the fifth client engagement faster than the first. A library already exists; you'll be its heaviest contributor
• Handle the observability layer: logging every gate decision so incidents can be reconstructed, tracing, cost attribution, and failure alerting
• Write the internal documentation and reference implementations the rest of the team builds from

What we're looking for

• 3+ years of production software engineering in Python or TypeScript
• Demonstrated experience building with LLMs in production: tool use, structured outputs, prompt caching, streaming, and retrieval
• Experience with Vertex AI or other Google Cloud GenAI and infrastructure
• Some experience with the Claude Agent SDK or comparable agent frameworks, and with MCP
• A real point of view on evaluating non-deterministic systems. If your answer to "how do you know it works" is "we tried it," this isn't a fit. We want to hear about datasets, graders, and pass bars
• The discipline to keep rules and arithmetic out of the model; you treat domain policy as provided data and code, never as something Claude is assumed to know
• Willingness to join a client call. You won't live in them, but you won't hide from them either

How to apply

Send a resume and links to code.

Email your application to careers at hiviewsolutions dot com.

Type

Full-time

Location

Remote

Reports to

Miles Hischier, Co-founder, CCA-P

Compensation

To be discussed

The role

Every AI rollout fails the same way: the tooling works, and six weeks later half the staff have quietly gone back to the old way. Your job is to make sure that doesn't happen to our clients.

This is change management delivered through training. You'll run remote webinars and hands-on sessions on Claude Code and Claude Cowork, hold standing office hours where client staff bring their real work, and build the bespoke training that ships with every custom Claude SDK system our engineers deliver. Working alongside our Applied AI Solutions Architect, the split is simple: the architect scopes the deployment; you make the client's people capable of living in it. You'll work from our existing session catalog, built on Anthropic's AI Fluency framework and partner training, and tailor it to each client's actual stack.

What you'll do

• Deliver live remote training on Claude Code and Cowork, hands-on, on the client's real workflows, with a takeaway artifact every session
• Run recurring office hours; turn the recurring questions into new material
• Own the adoption arc: champions, communications, and the follow-through after the training calendar ends
• Turn engineering handoffs (runbooks, permissions, failure modes) into curriculum for custom SDK builds
• Measure adoption, usage and workflow change, not attendance, and report it at handoff

What we're looking for

• 3+ years delivering technical training or enablement, with real change management ownership, you've saved a failing rollout and can tell us how
• Technical enough to be credible: you use Claude Code and Cowork yourself, demo live, and handle unrehearsed questions without an engineer on standby
• Excellent remote facilitation, for skeptical operations staff and developers alike
• The honesty to tell a client when a workflow shouldn't move to Claude

Nice to have

• AI Fluency facilitation or Claude Certified Architect training, we'll certify you in your first quarter otherwise
• Formal change management background
• Google Workspace rollout experience

How to apply

Send a resume to careers at hiviewsolutions dot com.