Project
$15k+fixed scope
Fixed-scope build with a senior engineer leading. The most common engagement.
- Senior engineer on code
- Fixed scope + quote
- 4–8 weeks to ship
- 30-day support
Hire Generative AI Engineer
Generative AI engineer for hire — production output, not demos.
When you need generative AI in production — content, code, image, structured generation, fine-tuning — we're the team. We've shipped GenAI products of our own and we know what production GenAI actually requires.
The problem
Generative AI in production is mostly the ‘not generation’ work.
The model call is 10% of the project. The other 90%: prompt engineering, structured outputs, guardrails against bad generations, quality evals, content moderation, cost control, caching, batching, monitoring, version pinning, fallbacks.
Hire someone who’s only done demos and you’ll spend six months learning the 90% the hard way.
What we do
We’ve done the production GenAI work already.
We’ve shipped generative AI features in real products: content generation, structured output extraction, code generation, drafting, summarization. Across our own products and client engagements.
We bring that experience — including the parts we learned the hard way — to your project from day one.
Capabilities
Content generation
Marketing copy, emails, summaries, descriptions, social posts. Prompt-engineered for brand voice, with eval suites that catch regressions.
Code generation
AI features that generate code (snippets, scripts, configurations). With sandboxing, validation, and safe execution boundaries.
Image generation
DALL-E, Stable Diffusion, Flux, Imagen. Prompt construction, post-processing, moderation. For product imagery, social, or in-app generation features.
Structured generation
JSON outputs with schemas. Pydantic / Zod validation. Reliable structured data extraction from unstructured input.
Document drafting
Contracts, proposals, reports — generated from structured input, reviewed by humans before send. The pattern that actually works.
Fine-tuning + embeddings
Domain-specific fine-tunes when off-the-shelf isn't good enough. Custom embeddings for retrieval. Done sparingly — usually a prompt + RAG is enough.
Evals + quality monitoring
Test suites against real cases. Quality scored, not vibes-checked. Regressions caught before users see them.
Safety + moderation
Output moderation, jailbreak detection, prompt injection defense. Important everywhere, critical for user-facing GenAI.
Cost + caching
Smart caching of repeated generations. Batching where possible. Right model per task. Generative AI without runaway bills.
How we work
How an engagement starts.
- 01
Discovery call
30 minutes. What you're trying to ship, the constraints, the timeline.
- 02
Written proposal
We come back with scope, fixed quote, and timeline. No deck.
- 03
Kickoff
Week 1 we're embedded. Slack, weekly cadence, continuous deployment.
- 04
Ship
Working build in 4–8 weeks for most engagements.
- 05
Run
Optional retainer after launch. Same team. Same Slack channel.
Engagement
Engagement options.
We don't sell hours. We sell shipped work. The two shapes we offer:
Embedded
$12k/mo16 hrs/week
Embedded part-time in your team. For ongoing work or longer roadmaps.
- Senior engineer 16 hrs/week
- Same person every week
- Slack access
- Month-to-month after 90 days
Fractional CTO
$12k+/mo
If you need senior tech leadership across the whole engineering function — not just one role.
- Strategy + hands-on
- Hiring + leadership
- Architecture decisions
- Board support
If a marketplace developer at $80/hour fits your need better than us, we'll honestly tell you.
Built by us
The level of work you'd be getting.
GenAI — Live
Arlo
Natural-language generation against live analytics data. Claude generates narrative summaries from real numbers, not training data.
GenAI ProductAnnatype
Production GenAI product built end-to-end.
Internal GenAIAgency ERP
Status reports, scope drafts, triage summaries — generated daily by our own ERP's GenAI layer.
FAQ
Overlap is significant. We separate the page because some teams specifically come from a content/marketing/creative angle and want GenAI for output, not agents. If you're not sure, /hire/hire-ai-engineer covers both.
Yes — but we'll usually push back first and try prompt engineering + RAG, which solves 90% of cases at 10% of the cost. We fine-tune when it's genuinely the right move.
Yes for image (DALL-E, Stable Diffusion, Flux, Imagen). Video generation is moving fast — we'll assess case by case based on the current best model for your use.
Layered defenses: input sanitization, output moderation, sandboxed execution, observability that flags suspicious patterns. Production GenAI needs all of these.
Claude for reasoning-heavy generation, GPT-4o for creative tasks, Haiku/Mini for high-volume short generation, open models for cost/compliance constraints.
Both. Prompt engineering is engineering at this point — versioning, testing, evals. We treat prompts like code.
Want to talk about your project?
Tell us what you're building or trying to figure out. We'll come back with what we'd do, how long it takes, and what it costs. No deck, no sales call.