Hire AI agent engineers who build agents that act inside your tools
Hire AI agent engineers from our in-house team in India who build LangGraph agents that call your APIs, wait for approval on high-impact actions and log every step. You interview the shortlist and choose who joins.
Clutch 4.8/5 from 33 verified reviews
50+ AI systems in production · ISO 9001:2015
to matched profiles
Before an agent touches a live system, these four pieces are in place.
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What an AI agent engineer does on your team
Prompting is a small part of the job. Most of the effort goes into the tools the agent can call, the limits on what it may do, and the tests that show it still works after each change.
- What does an AI agent engineer do?
- An AI agent engineer builds software in which a language model plans the steps of a task, calls tools and APIs, and takes actions such as updating a record or drafting a refund. The work covers orchestration, tool design, permissions, approval steps, tracing and evaluation, so the agent behaves predictably on live data.
Agentic AI developers available to hire
Hire one engineer for a single workflow, or pair roles into a small agent pod.
Agent workflow engineer
Designs the graph of steps, state and retries for a multi-step task, and ships it into the system your team already uses.
See agentic AI developmentTool and MCP engineer
Turns your internal APIs and databases into tools an agent can call, with validated inputs and scoped credentials.
See MCP server developmentMulti-agent systems engineer
Splits work across a planner and specialist agents when one agent with many tools starts to make poor choices.
Agent evaluation engineer
Builds the evaluation set from past cases, traces each plan and tool call, and reviews failures before they reach users.
Agent governance engineer
Adds approval steps, audit logs and access rules, including on agents another team built, after an audit of what is there.
See AI governance and complianceVoice agent engineer
Puts an agent on the phone, with speech recognition, speech synthesis and a handoff to your team.
Hire voice AI engineersWhere AI agent projects stall
An agent demo can be built in an afternoon. Keeping one correct on live data is a different skill, and these are the four places we see projects stop.
The agent loops or stalls on messy inputs
A demo path hides timeouts, empty results and tools that return errors. Our engineers set step limits, retries and stop conditions, and test failure cases in a sandbox before launch.
Nobody can tell if a change helped
Without an evaluation set, every prompt or tool change is a guess. An evaluation set of past cases runs on every release, and every plan and tool call is traced.
Too much access
An agent with one broad API key can reach records and actions its task never needs. Each agent gets scoped credentials, and high-impact actions wait for a person to approve them.
Compliance arrives late
Legal or security reviews an agent after it is built, and the project goes back to the start. SOC 2, HIPAA or GDPR controls are written into the scope during discovery, with audit logs from the first release.
How we vet AI agent engineers
Every engineer on the roster is full-time and in-house, and passed these checks before you see a profile.
Systems design interview
Design an agent under fixed limits on cost, latency and risk, including which actions need a person to approve them.
Live build exercise
Candidates build a working agent step or tool, and we review the code quality, error handling and evaluation design.
Production work checked
References and work samples confirm AI features shipped to production users.
Your own interview
You interview the shortlist and choose. Nobody joins your team until you approve them.
Hire an AI agent engineer this month
Tell us the workflow and the systems it touches. Matched profiles reach you within 48 hours.
Agent frameworks and tools our engineers use
LangGraph covers most stateful workflows. Our engineers write a custom orchestrator when a framework adds more weight than it saves.
Cost to hire AI agent engineers
Dedicated AI agent engineers start from $1,799 a month, full-time, the same rate as every other role. If you would rather hand us one workflow, an AI agent pilot starts at $7,999.
| Dedicated team | Fixed-scope project | Team extension | |
|---|---|---|---|
| How it is priced | From $1,799 a month per engineer, full-time | Fixed quote after a free discovery sprint | Billed monthly per engineer |
| Best for | An agent platform you will keep extending | A defined build with agreed milestones | A specific skill gap in a team you already run |
| Who manages day to day | You, inside your process | ScalaCode, against agreed milestones | Your leads, with our engineers reporting in |
Monthly means full-time and dedicated, 160 hours. Compare every option on the Engagement models page.
Talent Matched: one AI agent across a multi-tenant recruitment SaaS
Tallie works across a multi-tenant ATS and the TM Discover search engine. It reads and acts on data only through MCP servers, runs on a private LLM, and every step is traced. Each customer's data stays in its own isolated schema.
Candidate ranking time, per the client
One team, 14 years of shipping
projects shipped since 2012
clients across 45+ countries
AI systems running in production
years building software, since 2012
What clients say about our AI engineers
Verified reviews from Clutch and GoodFirms, and clients on camera.
33 verified reviews on Clutch
Clutch review★★★★★“What impressed us most was how quickly ScalaCode understood the operational challenges we were trying to solve.”
Clutch review★★★★★“What sets ScalaCode apart is their technical AI expertise and an understanding of a client's organizational ethos.”
GoodFirms review★★★★★“They built a high-performance, AI-powered platform that transformed video engagement for learning.”
Clutch review★★★★★“What stood out to us as most impressive and unique about ScalaCode was their ability to humanize complex AI.”
Clutch review★★★★★“They managed to balance technical skill with an understanding of the marketing world.”
Clutch review★★★★★“Their team often proposed innovative features we hadn't considered.”
Clutch review★★★★★“They didn't just build an algorithm; they built a tool that respects the nuances of Indigenous reconciliation.”
Hire AI agent engineers FAQs
Dedicated AI agent engineers start from $1,799 a month, full-time, the same as every other role.
How much does it cost to hire an AI agent engineer?
Dedicated AI agent engineers start from $1,799 a month, full-time and billed monthly. If you want ScalaCode to own the delivery, an AI agent pilot for one workflow starts at $7,999, after a free discovery sprint.
Which agent frameworks do your engineers use?
LangGraph for stateful, multi-step workflows, plus CrewAI, AutoGen and the OpenAI Agents SDK where they fit, and custom orchestrators when a framework adds more weight than it saves. Tools connect through function calling, MCP servers, webhooks and REST APIs.
How do you stop an agent from taking the wrong action?
High-impact actions go through an approval step, and each agent can only reach the systems its role needs. Every tool call is logged, and failure cases are tested in a sandbox before launch.
How do you vet AI agent engineers?
Each engineer is a salaried member of our in-house team who passed a systems design interview and a live build exercise. References and work samples confirm production AI work, and you then run your own interview before anyone joins.
How fast can an AI agent engineer start?
Matched profiles reach you within 48 hours of the first call. After you interview and choose, onboarding takes about a week.
Can your engineers connect agents to our CRM or ERP?
Yes. Agents reach SAP, Salesforce, Microsoft Dynamics and your internal services through their published APIs, webhooks or MCP servers our engineers build for them. Each agent gets scoped credentials, so it reaches only the records and actions its task needs.
Should we hire an AI agent engineer or an LLM engineer?
Hire an agent engineer when the model has to take actions in other systems, such as updating records or sending messages. If the job is answering questions from your documents, an LLM engineer with RAG experience is the better fit and usually costs less to run. For a customer-facing bot, chatbot developers cover the conversation side.
Can your engineers take over an agent another team built?
Yes. We start with an audit of the code, prompts, tools and access, then add the missing controls, such as approval steps, audit logs and an evaluation set, before new features.
Who owns the code, prompts and evaluation data?
You do. The contract and NDA assign the code, prompts, tool definitions and evaluation sets to you, and the engineer commits to your repositories from the first day.
Which time zones do your engineers cover?
Our engineers work from India and overlap with US, UK and European business hours. For US clients the standard overlap is 4 to 6 hours of the US working day.
Your engineers work in your hours
Timezone overlap is built in. Your matched engineers keep 4 to 6 hours of daily overlap with US hours and a full working day with the UK, Europe and the Middle East, so standups, reviews and fixes land during your working day.
Watch Kennith's reviewCarKenny: an AI vehicle app, built with ScalaCode
Tell us the workflow and we will send agent engineers matched to it
- Profiles matched on frameworks, systems and domain within 48 hours
- You interview and choose who joins
- You commit only after you choose
“They delivered on time and even offered ideas I hadn't considered.”
John-Paul Hatala, CEO, SnagPad