Senior AI engineering capacity. On a subscription. No hiring, no onboarding.
Your team is great. They're also at capacity. AI features keep landing on the backlog. You need specialist capacity that ships in days, integrates with your stack, and doesn't require you to manage another freelancer.
The real bottleneck.
It's rarely strategy. It's capacity. Your team is shipping product. The AI roadmap keeps getting pushed.
Roadmap is full of customer commitments. AI features stay in 'next quarter' forever. Every week of slip costs the company a deal.
AI engineer roles open 90+ days. Senior candidates take counter-offers from FAANG. Half decline at offer. The board still wants the feature shipped.
$25K SOWs with six-week turnaround. By the time it ships, your priorities moved. Slide decks for weeks before any code lands.
Toptal is a coin flip on AI work. Upwork is worse. Even the good ones need management overhead your team doesn't have.
How CTOs use Boundev.
Three patterns we see on every Series A–C engagement.
Ship the AI features your board is asking about while your AI engineer pipeline fills. No equity, no comp negotiation, no onboarding sprint.
- ✓First task in flight inside a week
- ✓Cancel the day your hire signs
- ✓Knowledge handover to your new engineer
When your team needs to land a customer commitment fast, Boundev absorbs the AI workstream so internal eng stays on core product.
- ✓Pause / resume monthly
- ✓Engineer matched to your stack
- ✓Daily Slack updates on Growth+
Your senior engineers don't need to context-switch into RAG / MCP / agents. We bring the specialization. They keep shipping product.
- ✓Architecture sessions on Scale
- ✓MCP, evals, drift covered
- ✓Pair-coding on integration boundaries
Stack & integration.
We work in your stack. Python primary, TypeScript when needed. Code lands in your repo with tests + a deploy guide.
- 01Languages: Python (primary), TypeScript / Node, Go (when integration demands).
- 02LLMs: Anthropic, OpenAI, Gemini, OpenRouter, OSS via Bedrock or self-hosted.
- 03Frameworks: LangChain, LlamaIndex, LangGraph, MCP SDK, CrewAI, pure code when frameworks add weight.
- 04Vector / retrieval: Pinecone, Weaviate, Qdrant, pgvector, Postgres FTS, OpenSearch, hybrid setups.
- 05Cloud: AWS, GCP, Azure, Vercel, Modal — we ship inside your existing infra, not ours.
- 06Observability: Langfuse, Braintrust, OpenTelemetry, your existing logging stack.
- 07Eval: harness shipped on day one, reproducible from a script your team can run on demand.
Code quality standards your team will accept.
We write the code your senior engineers would write — and then they review it before merging.
- 01Type hints throughout. Pydantic models on every IO boundary.
- 02Docstrings on every public function. Inline comments on the non-obvious lines only.
- 03Test coverage on every new module. Unit + integration. Eval suite for any LLM-touching code.
- 04Deploy guide and runbook attached to every PR. Observability notes on what to watch in week one.
- 05Internal code review by a second Boundev engineer before the PR opens in your repo.
- 06Subscriber owns 100% of IP. Code, prompts, eval fixtures, deployment scripts. No platform lock-in.
Top CTO questions.
Get your AI roadmap unblocked this week.
Book a 20-minute scoping call. We'll align on architecture, scope, and ship date before you commit a dollar.