Dedicated engineering teams that work like your own.
Long-term dedicated engineers, pods and teams across AI, software, fintech, Web3, cloud and security.
- Understand requestIntent: refund · order #4821
- Retrieve policyRefund policy v3 · 2 sources cited
- Call toolsorders.lookup · payments.status
- 4Human approvalRefund above auto-approve limit
- 5Execute actionpayments.refund
- 6Respond & logCustomer reply · audit trail
Tool call
orders.lookup({
order_id: "4821"
}) → { status: "delivered",
amount: 42.00 }Approval required
Refund 42.00 to original payment method
Hiring senior engineers across specialised domains — AI, payments, smart contracts, platform engineering — is slow and expensive. Dedicated teams provide that capability quickly while you keep control of priorities and ways of working.
Shivacha dedicated engineering teams join your processes, tools and rituals, with continuity of people, clear responsibilities and scaling up or down as your needs change.
Challenges
What stands in the way
Hiring speed
Specialised roles taking months to fill.
Domain expertise
Needing fintech, AI or Web3 depth quickly.
Flexibility
Capacity needs that change over time.
Integration
External engineers who never feel part of the team.
Approach
How Shivacha helps
- 1
Right composition
Teams shaped to your roadmap and stack.
- 2
Embedded working
Your tools, rituals and standards.
- 3
Continuity
Stable team membership and knowledge retention.
- 4
Elastic scaling
Adjust team size as needs change.
Deliverables
- Team composition plan
- Onboarded dedicated team
- Delivery within your roadmap
- Regular performance reviews
- Documentation and knowledge transfer
- Scaling as required
Technologies
Industries
Services
Services in this solution
Full-Stack Development
Full-stack teams delivering complete features across frontend, backend, data and infrastructure — end-to-end ownership.
Learn moreBackend Development
Scalable backend systems, services and data layers in Node.js, Python, Go, Java and .NET — reliable under real load.
Learn moreAI Development
End-to-end AI development: from use-case selection and data preparation to models, applications and production operations.
Learn moreSmart Contract Development
Audit-ready smart contract development in Solidity, Vyper and Rust — specified, tested adversarially and documented.
Learn moreDevOps Services
DevOps transformation — CI/CD, infrastructure as code, automated testing, monitoring and team practices.
Learn moreApplication Security
Application security — secure SDLC, threat modelling, code review, SAST/DAST, dependency management and remediation.
Learn moreLearn more
Related work and thinking
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The foundations we put in place when building a SaaS product that will need to sell to enterprises.
Learn moreModular monolith first: when microservices are actually worth it
Microservices solve organisational scaling problems and introduce distributed-systems problems. Most products should earn them.
Learn moreHow much does blockchain development cost? The factors that actually drive the estimate
Blockchain budgets are driven by contract complexity, custody, audits, chains and the off-chain system around them. Here is how to scope each one before asking for a quote.
Learn moreAI development cost: what you pay for when you build an AI product or agent
Model fees are rarely the main cost. Data preparation, evaluation, integrations and guardrails decide both the budget and whether the system works.
Learn moreAI Production Readiness Checklist
Questions to answer before putting an AI assistant or agent in front of customers or employees.
Learn moreFAQ
Frequently asked questions
How quickly can a team start?
It depends on roles and seniority; initial team members can often start within a few weeks.
Who manages the team day to day?
You set priorities; we provide delivery management and people support.
Build Your Engineering Team.
Tell us what you're launching. A solution architect will reply with an approach, an implementation timeline and next steps.
