Service · Staff augmentation · 3 to 12 months

Hire our engineers, embedded in your team for 3 to 12 months.

Sometimes outsourcing the whole project isn't the right call. You want experienced engineers who join your team, take direction from your tech lead, and ship inside your codebase.

Senior Salesforce developers, senior AI engineers, senior full-stack devs. Usually 3 to 12 month engagements, US/EU working hours, transparent monthly rates.

Book a 30-min screening call Send a JD for review

01Project or embedded engineers?

Two different shapes of engagement.

	Project work (build & deliver)	Embedded engineers (staff aug)
Best for	Greenfield products, well-scoped builds, one-time migrations	Existing codebase work, ongoing development, capacity gaps
Who manages	We do (our PM, our scope, our delivery)	You do (your tech lead manages, our engineers contribute)
Pricing model	Fixed-fee or T&M project	Monthly rate per engineer
Engagement length	6–16 weeks typical	3–12 months typical
Best when	The work is bounded and well-defined	The work is ongoing and your team needs senior capacity

If you're not sure which fits, that's what a 30-min call is for. We've moved plenty of would-be staff-aug deals into focused project engagements, and vice versa. Honest framing matters more than booking the engagement.

02Who we provide

Three roles we staff regularly.

Senior Salesforce Developers

5+ years of Salesforce experience. Apex, Lightning Web Components, Flows, integrations, custom objects, deployment via CI/CD. All have shipped to production on 5+ enterprise Salesforce orgs. Salesforce Certified Platform Developer at minimum; most are Platform Developer II + System Architect track.

Typical engagement:Customer needs to ship Salesforce work but their in-house team is at capacity, or they're scaling up a custom object model and need senior depth.

Senior AI Engineers

4+ years building production AI systems. Strong Python + TypeScript. Hands-on with LangGraph, LangChain, MCP, RAG architectures, multi-LLM orchestration, Claude / Gemini / OpenAI APIs. All have shipped production AI agents, not just notebooks.

Typical engagement:Customer wants to build AI features inside their existing app, doesn't want to learn from scratch, needs someone who's been through the production gotchas (rate limits, hallucination handling, audit logs, eval harnesses).

Senior Full-Stack Engineers

5+ years across modern web stacks. Strong in either Vue or React (most are dual), Python or Node, Postgres. Familiar with the AI tooling layer (LangChain, vector DBs, embeddings) so they can collaborate with AI engineers without translation overhead.

Typical engagement:Customer is building a product, in-house team is small, needs to add 1–3 senior engineers fast to ship a quarter's roadmap.

03How it works

Four steps. No surprises.

Screening call

Free · 30 min

Tell us what you need: role, seniority, tech stack, project context, working hours, engagement length. We tell you honestly whether we can staff it and how fast.

Engineer matching

1–2 weeks

We propose 1–3 candidates from our team. You see resumes + GitHub + (where shared) work samples. You interview them like you would any candidate: your screening, your bar.

Trial

2 weeks · Paid

The engineer joins your team for a paid 2-week trial. Real work, real codebase. If it doesn't click on either side, we end at the 2-week mark with no penalty.

Engagement

3–12 months · Your choice

If the trial works, we move to a monthly engagement. Most start at 3 months and renew month-to-month after. 30-day notice either way.

04Commercial terms

Transparent rates. No hidden mark-ups.

Monthly rate	$9k–$15k per senior engineer (depending on role + seniority)
Trial period	2 weeks paid, $4.5k–$7.5k (no penalty to end)
Working hours	Your time zone (US/EU). 8h/day overlap with your team.
Notice period	30 days either way after trial
Engagement length	3 months minimum, no maximum
IP	All work product is yours (standard work-for-hire)
Tools / equipment	Engineer brings their own (MacBook, etc.). Your tools (GitHub, Slack, Jira / Linear / our tracker) you provide.
Time tracking	We use our own tracker tool for transparency; you see weekly hours + summaries.

Mid-market between US senior engineering ($15k–$25k/mo for similar talent in-house) and offshore staff aug ($4k–$7k/mo for comparable seniority). We charge what experienced engineering is actually worth, without US-hire overhead.

05The team behind staff aug

Same engineers who ship our products and case studies.

The senior engineers staffing your team are not different people from the ones building Logan, FullServicePro, Dear Brightly. You get the experience that built those systems, applied to yours.

50+ active Salesforce certifications across the team. 15+ years building CRM systems. Multi-LLM agent system shipped in production (Logan). Vendure migration shipped in 11 days (Dear Brightly).

06FAQ

Common questions.

Yes, with a standard buyout clause (typically 25–35% of annual comp, prorated by engagement length). We don't block transitions. We'd rather you hire long-term than churn through us.

Two-week paid trial: end with no penalty if it's not a fit. Post-trial, we'll replace the engineer within 2 weeks at no additional onboarding cost. We've had to do this <5% of the time historically.

You do, day-to-day. We provide HR + payroll + admin support. Your tech lead gives them work, reviews their code, sets the priorities. It's staff aug. They're part of your team.

All staff-aug engineers work US or EU hours (your choice). 8 hours of overlap with your team is the default. India-based but on your clock.

Screening call → engineer proposed within 1 week. Trial start: within 2 weeks of screening for most roles. Full ramp into your codebase: ~2 weeks of trial.

Yes. Team engagements work differently. We typically run a 1-week scoping sprint with your tech lead to architect the engagement, then ramp engineers over 3-4 weeks. Different commercial terms apply for team engagements.

Yes. The differentiator: every AI engineer we staff has shipped production AI to a real customer (not just notebooks or demos). The interview process specifically tests for production gotchas: rate limit handling, hallucination management, audit log design, eval harness construction. We screen for ships-AI-in-prod, not just used-the-API.

3 months. Shorter than that doesn't justify the onboarding overhead.

Next step

Need senior engineers, fast?

Free 30-min screening call. Tell us the role, the stack, the project context. We'll tell you honestly whether we can staff it, how fast, and what the engineer would cost.

Schedule a 30-min screening call