Modern AI Engineering
Agent orchestration, multi agent systems, RAG, synthesis, MCP integrations, tool use, evaluations, and intelligent workflows.
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Agents · Automation · Orchestration
AI opportunity identified.Potential unlocked.Execution — handled.
We turn AI ambition into working solutions across workflows, systems, and operations.
- Austin
- Hyderabad
- Colombia
- Peru
- Nepal
- Agent orchestration
- Workflow automation
- RAG & synthesis
- MCP integrations
- Evaluations
- Legacy modernization
- Cloud native
- CI/CD
- Infrastructure as code
- Observability
- Test automation
- Performance engineering
- Platform engineering
- Release engineering
04Engineering disciplinesAI, product, DevOps, quality
03Engagement modelsExtension, dedicated, project
02OfficesAustin · Hyderabad, team across 5 countries
01Accountable teamOne lead, kickoff to release
Services
Four disciplines. One team.
AI work fails when the engineering around it is weak. We bring the whole set, so a model, the platform it runs on and the tests that keep it honest are never someone else’s problem.
Product Engineering
Web and mobile applications, APIs, platforms, integrations, cloud native systems, and modernization.
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DevOps & Cloud
Cloud architecture, CI/CD, infrastructure as code, observability, platform engineering, reliability, and operations.
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Quality Engineering
Quality strategy, test automation, performance, integration testing, release engineering, and continuous quality.
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What changes
Modernization you can point at.
Most teams do not need another pilot. They need the work to move faster and the systems underneath it to stop getting in the way.
Work that runs itself
The handoffs, approvals and copy-paste between systems become one automated flow, with people kept in the loop where judgement is needed.
AI in production, not in a deck
Agents, retrieval and tool use built into the systems your team already runs — with evaluations proving they work before anyone depends on them.
Legacy systems that move again
Older platforms modernized incrementally, so the business keeps running while the architecture catches up.
How we create value
From AI opportunity to real-world execution.
You know AI can create value. The harder part is knowing where to apply it, what is worth building, and how to move from experimentation to something your business can actually use.OpsAway helps identify the right opportunities, design the right approach, and put AI to work across your workflows, systems, and operations.
- 01
Identify the right opportunities
Find where AI can remove friction, accelerate decisions, automate work, or create new capabilities.
- 02
Prioritize what matters
Evaluate impact, feasibility, data readiness, integration complexity, risk, and speed to value.
- 03
Design the right solution
Combine agents, automation, applications, and human judgment around the workflow.
- 04
Build it into the business
Implement the solution inside real systems, data flows, permissions, approvals, and controls.
- 05
Measure and expand
Measure value created, improve what works, and extend AI into the next opportunity.
Engagement models
Start where it makes sense.
- Team extension
Engineers where and when you need them.
- Dedicated teams
A cross functional team on your roadmap.
- Project delivery
Defined outcomes, engineering ownership from planning through production.
Global delivery
One team. Built to keep moving.
OpsAway brings together engineering talent across the US, Latin America, and Asia into one delivery team with clear ownership, meaningful working-hour overlap, and one accountable lead.
You get the reach of a distributed team without having to manage multiple vendors, handoffs, or time zones yourself.
- One team
A coordinated OpsAway team working toward the same outcome.
- Global reach
Engineering talent across the US, Colombia, Peru, Nepal and India.
- Working overlap
Shared hours with your team for decisions, collaboration, and momentum.
- Clear ownership
One accountable lead from kickoff through release.
Tekgence
Ninjahire
KennelEyes
Cenor.ai
Clients
Teams we build for.
From production platforms to the products we build and run ourselves — the same team and the same accountability on every one.
Start a projectQuestions
Before the first call.
How does an engagement start?
A call about the problem, then a short written proposal with a proposed team, a first milestone and a price. There is no discovery phase you have to pay for before you know what it costs.
Who owns what you build?
You do. Code, infrastructure, prompts, evaluation sets and documentation are yours, handed over in a state your own team can pick up and run.
How do the time zones work?
We agree a daily overlap with your business hours before the engagement starts, and the team works to it. Your point of contact is in the US.
Where is the team based?
Two offices: Austin, Texas and Hyderabad, India. Engineers in Colombia and Peru work with the Austin office, giving near-full overlap with US hours; engineers in Nepal work with the Hyderabad office. You contract in the US either way, and one lead stays accountable across both.
Who do we contract with?
LeanTechOps LLC d/b/a OpsAway — a US entity, under US law, invoicing in USD. Engineering is delivered by the OpsAway team across Colombia, Peru, Nepal and India.
How small can an engagement be?
Most start smaller than people expect: one problem, one team, one release. A narrow first slice is usually the fastest way to find out whether we work well together.
Do you only do AI work?
No. AI modernization is what we lead with, but it rarely stands alone — the product engineering, platform and quality work around it is usually what decides whether it survives contact with production.
Tell us what the work looks like today.
Send us the process you would most like to stop doing by hand. We will tell you honestly whether it is worth automating — and what it would take.