Staff Augmentation
Your Engineering and AI Team, Embedded.
We embed vetted engineers and AI specialists inside your team from day one, so architectural decisions and production learning stay in your organization.
Platform team6 members
MRMaya R.Frontend
DKDan K.Backend
ASAyesha S.Platform
TLTom L.QA
JPJon P.Design
SVSana V.AI engineerJoined
NearshoreOnshoreOffshoreOnboarded to your sprint
0Global experts
0Projects delivered
0Years of excellence
0Countries served
Selected clients
Trusted by teams worldwide
Key Challenges
Where Hiring Slows Down Delivery
Hiring TimelineMonths to fill one seatA full time hiring cycle runs 8 to 12 weeks before anyone writes a line of code.
Skill GapThe specialist you cannot findOne niche platform or AI and ML hire can stall a roadmap, and that talent is scarce.
IP OwnershipUnclear who owns the workLoose vendor terms leave code, models, and pipelines without a clean ownership claim.
Bench RiskCapacity you carry year roundScaling a team for one project means paying for that headcount long after it ships.
Our Approach
Your Team, Not a Separate One.
Devsinc engineers and AI specialists report into your existing team structure, use your tools, and follow your process, not a detached vendor team working in parallel.
Production learning, architectural decisions, and model and data context stay inside your organization instead of leaving with an external team. You keep full control of the roadmap, the code, and the IP; we handle sourcing, vetting, and the employment relationship.
What stays with you
The roadmapThe code and the IPProduction learningArchitectural decisionsModel and data contextDay to day managementRelease cadenceTeam structure
Capabilities
The roles you can add, and how they plug in.
AI Engineers and ML SpecialistsModel fine tuning, deployment, and MLOps, embedded directly in your AI roadmap, not handed off as a separate workstream.Learn more
◆Fine tuning and evaluation against your own data
◆Deployment and MLOps inside your existing pipelines
◆Model and data context retained by your team
◆Works to your AI roadmap, not a parallel one
Fine-tune run
Base modelloaded
Your data12.4k rows
Eval harnessrunning
Eval score
+18pts
vs base modelDeployed toyour MLOps pipelineyour model registryyour monitoring
Full Stack CoverageFrontend, backend, mobile, DevOps, and QA specialists available individually or as a pod.Learn more
◆Individual specialists for a single open seat
◆Preformed pods when a whole workstream needs staffing
◆Mobile, web, and platform engineers from one pool
◆DevOps and QA available alongside build roles
Seats availablepod or individual
FrontendReact · Vue
BackendNode · .NET · Java
MobileiOS · Android · RN
DevOpsK8s · Terraform
QAautomation · manual
PlatformAPIs · data
Pod ready4 of 6
Data Scientists and Data EngineersPipeline architecture and AI ready data infrastructure built alongside your own team.Learn more
◆Pipeline architecture designed with your data owners
◆AI ready infrastructure rather than one off extracts
◆Warehouse and streaming experience across stacks
◆Knowledge stays with your team after the engagement
Sourcesapp dbevents3rd party
Pipelineingest · dbttests green
WarehouseAI readyyour account
Rapid OnboardingVetted engineers matched and integrated into your team, typically within weeks.Learn more
◆Matching from an already vetted engineer pool
◆Role specific vetting before profiles reach you
◆Final approval always sits with your team
◆Start dates measured in weeks, not hiring quarters
w1
w2
w3
w4
Role scopedskill, seniority, hours
doneProfiles sharedvetted for this role
doneYour approvalyou pick the engineer
doneFirst commitin your repo
week 4Direct Team IntegrationEngineers work inside your sprint cadence, your stand ups, and your tools, not a separate reporting line.Learn more
◆Your sprint cadence and ceremonies, not ours
◆Your tools: Jira, Slack, GitHub, and the rest
◆Reports into your existing team structure
◆No separate vendor status calls to manage
Your sprint boardsprint 24
In progress
Checkout APIyour dev
Auth refactorembedded
In review
Rate limiterembedded
Done
Webhooksyour dev
Cache layerembedded
Your toolsJiraSlackGitHub
Flexible ScalingAdd or reduce headcount as the roadmap shifts, without a hiring or layoff cycle.Learn more
◆Scale up for a delivery push, scale back after
◆Swap a role when the roadmap changes shape
◆No severance or bench cost carried by you
◆Employment and payroll handled by Devsinc
Headcount by quarterflexes with roadmap
3Q1
6Q2
9Q3
4Q4
Severance cost
$0
Bench carried
None
Engagement Models
Let's TalkChoose where your team is built
NearshoreNearshore DeliveryEngineers in aligned time zones for near real time overlap with your team working hours.Best for close collaboration without full onshore cost
OnshoreOnshore DeliveryEngineers based in your own region for direct, same time zone collaboration and on site availability.Best for regulated or client facing engagements
OffshoreOffshore DeliveryEngineers operating from our global delivery centers as a dedicated, cost efficient extension of your team.Best for scaling capacity cost effectively
Process
From open seat to shipping engineer
01Scope the GapDefine the exact skill, seniority, and time commitment needed.
02Match and VetCandidates matched from our engineer pool, vetted for the role, shared with you for final approval.
03Onboard and IntegrateEngineer joins your tools, sprints, and stand ups directly.
04Scale as NeededAdd, reduce, or swap capacity as your roadmap changes.
Industries we serve
Explore MoreWhere added capacity moves fastest
SaaS and B2B SoftwareScaling engineering capacity through growth phases without over hiring.
E Commerce and RetailSeasonal and peak load engineering capacity.
Financial ServicesVetted engineers cleared for regulated environments.
HealthcareCompliance aware engineering capacity added on demand.
Case Studies
Read all case studiesTeams that shipped once the seats were filled.
Embedded engineers, inside the client's own team.
HR Technology / SaaSSapling (Kallidus)Engineering Excellence Powers HR Platform to Strategic ExitStaff AugmentationRead the case study →
Real Estate & PropTechIntellirentIntellirent’s Digital Leasing Breakthrough: Elevating Tenant Screening With AIAI & Data SystemsRead the case study →
Real Estate & PropTechA Global Real Estate PlatformScaling an AI-Powered Global Real Estate Platform for Optimized PerformanceApplication EngineeringRead the case study →
FAQs
Let's talkFrequently Asked Questions
Still have a question about vetting, timelines, or who owns what gets built?How is this different from a full project outsourcing engagement?
You keep full ownership of the roadmap and management; we add engineering capacity into your existing team rather than taking over delivery.
How fast can someone start?
Typically within a few weeks from scoping to start date, depending on the specialization required. [VALIDATE]
Can we interview candidates before they join?
Yes, we share matched candidates for your approval before onboarding.
What if the engineer is not the right fit?
We replace at no additional cost within an agreed window. [VALIDATE: confirm actual replacement policy]
Do you handle payroll and employment, or do we?
Devsinc handles employment, payroll, and benefits; you manage day to day work.
Can this scale up or down as our project changes?
Yes, headcount flexes with your roadmap without a hiring or layoff cycle on your end.
Who owns the code, models, and IP built by embedded engineers?
You do. All code, AI models, and data pipelines built during the engagement belong to your organization.
What is the difference between nearshore, onshore, and offshore?
Nearshore gives close time zone overlap at lower cost than onshore; onshore puts engineers in your own region; offshore maximizes cost efficiency from our global delivery centers. [VALIDATE: confirm real delivery center locations per model]
Get started
Tell us the seat you need filled
One conversation is enough to scope the role. You get matched profiles to review, not a generic bench list.✓Bring the skill gap or headcount you need filled
✓One conversation to scope seniority, stack, and timeline
✓Matched candidates within days, not weeks