Home / Hire / AI Automation
Developers
Hire — AI Automation
Hire AI automation developers
No-code hits a wall the moment a workflow needs judgment. Hire
developers who build AI agents that read, decide, and act across your
systems — with humans in the loop where it counts.
The Problem
The automation you need is past no-code
-
No-code stops at judgment. Zapier and friends
handle triggers and actions, but not "read this document and decide"
— and that's usually the step that matters.
-
Integrations get brittle. Homegrown scripts strung
between APIs break on every edge case and become no one's job to
maintain.
-
Agent reliability is a real skill. Building an LLM
agent that acts on live systems without going off the rails takes
guardrails, evals, and experience most teams lack.
-
Trust needs auditability. Automation that touches
real work needs approvals and logs, or the business won't let it
run.
-
Hiring for this is slow. Engineers who combine LLM
agent skills with solid systems integration are hard to source and
vet.
What's Included
Engineers who build agents that hold up
You get developers who build production automation on an LLM agent
layer, wired safely into real systems — with the reliability practices
that keep it running.
-
Agent orchestration. LLM agents with tool-calling
that act on your systems within hard guardrails and escalate when
they should.
-
Document and email understanding. Extraction and
classification over messy real-world inputs, not just clean
structured data.
-
Deep integrations. Robust connections to your CRM,
help desk, databases, and internal APIs — built to survive edge
cases.
-
Human-in-the-loop design. Approvals on high-stakes
steps and full audit logging, so the business trusts what runs.
-
Evaluation and monitoring. The measurement and
observability that separate a reliable automation from a demo.
-
Flexible engagement. Project-based delivery or a
dedicated team embedded with yours.
How We Work
How the engagement works
-
Scope call
We discuss the workflows you want automated, your systems, and
the right engagement model.
-
Team & plan
We propose the people and a concrete plan — fixed scope or
monthly dedicated.
-
Build embedded
The team builds against your live systems with approvals and
logging from the start.
-
Handover or continue
We hand over with documentation, or stay on as your automation
team.
Engagement from [RATE_INR] / [RATE_USD]. Hire on a
fixed-scope project or a monthly dedicated basis — your pick. We
quote the arrangement before we start; no surprise hourly overruns.
Proof
Proven on the same agent architecture
The agent layer these developers build automation on is the
architecture running our production voice agent at Battery Smart — an
agent that calls live APIs, decides within guardrails, and escalates
when needed. That reliability discipline is exactly what safe workflow
automation requires.
See the agent architecture in production →
FAQ
Hiring AI automation developers — FAQs
How is this different from hiring a Zapier expert?
No-code experts wire up trigger-action rules. Our developers build
the judgment steps — reading documents, deciding categories,
handling exceptions — on an LLM agent layer, and integrate far
deeper into your systems.
Will the automations be safe to run on real data?
Yes — that's the point of how we build. High-stakes steps require
human approval, and everything is logged so you can audit what ran
and why. Reliability isn't an add-on.
Project or dedicated team?
Both are available. A defined set of workflows suits a fixed-scope
project; ongoing automation work suits a dedicated monthly team.
We'll advise on the call.
Can you integrate with our existing tools?
Yes. We build around your CRM, help desk, databases, and internal
APIs rather than asking you to replace anything.
Who owns what you build?
You own the code and IP we build for you, documented and handed
over. We put ownership in writing in the agreement.