Hiring an AI engineer is a four-month bet. We ship in six weeks.
We are the boring third option that just delivers — production code in your GitHub in six weeks. After that, switch to the Boundev AI subscription for ongoing capacity. Both end with code in your repo, full IP transfer, runbooks documented.
- 50+
- AWS deploys live
- 6 wk
- Build to prod
- 48 hr
- Audit turnaround
Time to first PR
vs 12 wk agency
Build to prod
Bedrock RAG · 2.1M tickets
Bedrock spend
of forecast at month 2
Eval p95
end-to-end
Hire vs ship · what your CFO will ask
The hire is a great long-term move. We are the right short-term one.
You should hire an AI engineer. We are not arguing with that. But the search takes ninety days, the ramp another sixty, and the board wants the feature this quarter. Most teams we work with end up doing both — and the engineer's first task is extending what we built, not starting from zero.
- Time to first production codeOpen role 90+ daysDay 14 of SOW
- Cost (year one)$220k base + $80k stock$80–180k fixed-price
- Risk if it doesn't workCost of replacementWalk away after audit
- Compliance postureEngineer learns on the jobSOC 2 vendor-of-record × 3
- Code ownershipYours, eventuallyYours, IP transfer at SOW
- What happens after launch1 person knows the codeRunbooks + Slack 30 days + optional retainer
Six things we ship for SaaS teams
From audit to managed. All on AWS.
Bedrock RAG
Production retrieval-augmented generation. Eval harness, drift monitoring, observability on day one.
Custom AI agents
Bespoke agents over your platform. Four-week pilot, owned IP, framework picked for the job.
MCP servers
Model Context Protocol servers exposing your SaaS to Claude, Cursor, and other clients.
Compliance baseline
PCI-DSS v4.0, HIPAA, SOC 2 patterns built in. Vendor-of-record on three SOC 2 Type II audits.
AI cost optimisation
Idle endpoints, oversized vector indexes, GPUs nobody owns. Documented wins for finance.
DevOps + IaC
Terraform, CodePipeline, blue-green deploys. Your engineers ship via PR. Runbooks documented.
Stack · we know it cold
Eight categories. No religion about which one.
AI
- Bedrock
- SageMaker
- Anthropic
- OpenAI
- Llama
Compute
- EKS
- Lambda
- Fargate
- EC2 p4d
Data
- OpenSearch
- Aurora
- S3
- RDS
Edge / API
- CloudFront
- WAF
- API Gateway
- Route 53
Observability
- CloudWatch
- Langfuse
- OpenTelemetry
DevOps
- Terraform
- CodePipeline
- GitHub Actions
Security
- KMS
- GuardDuty
- Secrets Mgr
Identity
- Cognito
- IAM
- Okta
Six-week build playbook
Day 0 to production. Six checkpoints.
Day 0
Free 48-hour audit
Architecture sketch, cost estimate by service, week-by-week plan, parts we think are bad ideas.
Day 7
Fixed-price SOW
We name the number and the date. No T&M. NDA on day zero, MSA standard.
Week 2–4
Build with weekly demos
Code lands in your GitHub via PR. Daily Slack updates. Eval harness in repo on day two.
Week 5
Compliance + load
Synthetic load test, model card filed, drift monitoring live, security review walked through.
Week 6
Deploy + handoff
Production deploy, runbooks documented, on-call playbooks handed over, Slack stays open.
Day 90
Optional retainer
Some teams keep us. Others go solo. Cost monitoring, model upgrades, security patching.
Series B B2B SaaS · ninety-day hiring stall
Bedrock RAG over 2.1M tickets. Shipped before the engineer hire closed.
- Tickets ingested
- 2.1M · 4 years
- Latency p95
- 1.8s end-to-end
- Hire timeline
- Joined month 4
- Bedrock spend
- 63% of forecast
- Eval score
- 94% on validation
- Code ownership
- 100% in their GitHub
The CTO had been hiring an AI engineer for ninety days when we walked in. The board wanted a Bedrock-backed support feature live by quarter end. The agency they had been talking to quoted twelve weeks and a deck.
We delivered the audit on Wednesday. Architecture diagram, weekly plan, fixed-price SOW. Started the following Monday. The eval harness landed in the repo on day two — accuracy target locked in writing before any prompt engineering happened. By week five the feature was in production over two million tickets, latency under two seconds, and a model card already filed for the SOC 2 audit due in October.
The hire eventually joined in month four. By that time the feature had been in front of customers for two months and the team had a working pattern to copy. The engineer's first task was extending the agent — not building one. That sequence is the entire pitch.
Top SaaS questions
Real answers from CTOs who shipped with us.
Ready when you are
Bring your AI roadmap. We tell you what's real.
Forty-eight hours after the call, you get a twelve-page roadmap with architecture, weekly plan, and the parts we think are bad ideas. No deck. No follow-up unless you ask for one.
- 50+ AWS deployments shipped
- SOC 2 vendor-of-record × 3
- Delaware C-Corp contracting
- Andrew Ng credentialed founder