A trusted engineering team for your long-term product roadmap.
DeepStack provides small, experienced engineering teams to B2B software companies that need reliable execution without adding management overhead. We embed with your internal team, take ownership of meaningful product and backend work, and stay for the long term.
Start with one or two engineers. Work directly with the people building your product. Continue month-to-month as your roadmap evolves.
Where DeepStack fits
We work well in two situations.
You need a dependable engineering extension
You have a validated B2B product, a small internal engineering team, and an ongoing roadmap. You need one or two dependable engineers who can understand the system, take ownership, and become a long-term part of the team.
- Small, technically led engineering organization
- Paying customers or credible product validation
- Backend-heavy or technically complex product
- Long-term roadmap
- Your CTO or technical founder is directly involved
- Preference for continuity over interchangeable staffing
You need to accelerate an existing engineering team
Your internal team is capable, but customer commitments, integrations, platform work, or AI initiatives are moving faster than hiring. DeepStack can own a defined workstream while you continue building the internal organization.
- Established internal engineering team
- Commercial traction
- Growing delivery backlog
- Workstream that needs clear ownership
- Hiring cannot meet the required delivery timeline
- CTO or VP Engineering wants additional execution capacity
What we can own
We take ownership of meaningful, bounded areas of the product — not a queue of disconnected tickets.
Backend and core product systems
Complex business logic, APIs, workflows, performance-sensitive services, and long-lived product modules.
AI-enabled product engineering
AI agents, LLM-powered workflows, evaluation systems, structured data extraction, and AI features that solve real product problems.
Data-intensive applications
Data pipelines, processing systems, analytics foundations, search, structured signals, and machine-learning-backed product decisions.
Infrastructure and production reliability
Deployment systems, Kubernetes-based infrastructure, observability, reliability improvements, CI/CD, testing, and operational tooling.
APIs and enterprise integrations
External APIs, internal platforms, authentication, billing, customer integrations, and product interoperability.
Blockchain infrastructure
Protocol, wallet, indexing, distributed-systems, and blockchain infrastructure work where DeepStack’s specialist experience creates an advantage.
How we work
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Start with a real workstream
We begin with a meaningful, bounded part of the roadmap — not a vague request for extra developers.
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2
Begin with one or two engineers
The initial team stays intentionally small, making collaboration easy and reducing your commitment risk.
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3
Work inside your team
We use your existing communication, planning, code-review, and delivery process.
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Take ownership
DeepStack engineers learn the product, make technical decisions, document their work, and become accountable for delivery.
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Stay as the roadmap evolves
The engagement continues month-to-month. Scope can evolve without repeatedly rebuilding the team or renegotiating projects.
Operating principles
- Stable engineers rather than frequent rotation
- Direct communication with the people doing the work
- Senior technical oversight
- Minimal coordination overhead
- Clear documentation and code review
- Visible weekly progress
- No unnecessary account-management layers
- No pressure to expand the team beyond what you need
Why clients stay
Continuity
The same engineers stay close to the product and accumulate valuable domain knowledge.
Ownership
You’re not required to break every problem into tightly specified tickets.
Low management overhead
We work within your existing team and don’t create another layer to manage.
Technical depth
We’re comfortable with complex backend, infrastructure, AI, data, and distributed-systems work.
Flexibility
Start small and continue month-to-month as priorities change.
Long-term orientation
The goal isn’t to finish a short project and leave. It’s to become a dependable part of your engineering organization.
Experience
More than two decades of product engineering experience, applied to backend systems, AI products, distributed systems, and blockchain infrastructure for US software companies.
- More than 20 years of product engineering experience
- Long-term work with US software startups and product companies
- Multi-year client relationships built on continuity and trust
- Blockchain infrastructure experience with Cosmos SDK, Ethereum, and EVM-compatible chains, including multiple chain launches from testnet to mainnet
- Production experience with AI agents, LLM-powered workflows, and applied machine learning
- Hands-on backend, distributed-systems, and infrastructure engineering
Specialist infrastructure delivery
Worked on technically complex blockchain infrastructure spanning Cosmos SDK and EVM-compatible chains — protocol-level systems, indexing, and multiple chain launches from testnet to mainnet, requiring deep protocol knowledge and production reliability, sustained over five years.
AI-enabled hiring platform engineering
Embedded with a US-based AI-powered recruitment technology company, contributing to AI agent workflows and candidate evaluation logic alongside backend systems and integrations with third-party applicant tracking platforms. An ongoing engagement, running for about a year and a half to date.
Decentralized network and registry engineering
Joined a decentralized peer-to-peer network project as a core embedded engineer, building its blockchain-backed registry and naming service for application and service discovery, with additional contributions to the network’s compute layer. Engagement ran just over two years.
A good fit
DeepStack may be a strong fit when:
- You operate a B2B software product.
- You already have paying customers or meaningful product validation.
- Your roadmap extends beyond a short project.
- You need one or two engineers who can become deeply familiar with the product.
- You need ownership of backend, product, infrastructure, data, or AI work.
- You value continuity and accountability more than rapidly adding interchangeable developers.
- Your CTO, founder, or engineering leader wants direct access to the people doing the work.
- You’re comfortable collaborating with a distributed engineering team.
Probably not a fit
DeepStack is probably not the right fit for:
- One-off marketing websites
- Short fixed-price MVP builds
- Commodity staff augmentation
- Large-scale hiring of interchangeable developers
- Primarily visual or design-led projects
- Companies choosing primarily on the lowest hourly rate
- Projects without access to technical decision-makers
- Work with no meaningful roadmap after the initial delivery