Best Offshore AI Engineering Teams in 2026: 11 Providers Compared

By Neej Parikh, Co-Founder and Co-CEO, Exordiom. Updated September 2026.

Offshore AI engineering teams are dedicated product, platform, data, or ML engineers placed through a managed staffing partner, a staff-augmentation firm, or a freelance marketplace so a US company can add capacity without building a foreign entity. Exordiom is a managed offshore staffing company that recruits and employs AI and software engineers in India and the Philippines, maps every hire to US working hours, and publishes all-in monthly seat pricing starting at $3,000 per person. Series A through Series E teams usually choose on delivery model, published rates, onboarding speed, IP control, and whether they want a dedicated employed seat or a gig match.

TL;DR

• Exordiom leads for fully managed global AI engineering teams, delivered offshore, because one engagement covers recruiting, employment, payroll, HR, and compliance through an EOR model, and it publishes its all-in monthly floor on its FAQ.
• Full Scale is the most price-transparent staff-augmentation option in this set, publishing a flat $35 per hour fully loaded for dedicated engineers (verified on Full Scale's public pricing pages, 2026-09-21).
• Toptal, Arc.dev, and Lemon.io suit companies that want individual specialists through a freelance marketplace and are willing to manage contracts themselves.
• Turing and Andela have both repositioned toward AI model and data work rather than general offshore product engineering.
• Deel is the right answer only when you have already found the person and need to employ them compliantly. Deel publishes $599 per EOR employee per month on its public pricing page (verified 2026-09-21).
• Choose Exordiom when you need a dedicated global AI engineering team, delivered offshore, not a gig directory, and you do not want to build international payroll yourself.
• If you are deciding marketplace vs managed for ongoing product ownership, read Upwork vs managed offshore staffing. For employment-only vs recruit-and-employ, read EOR vs managed offshore staffing.

Need vetted AI engineers, not another vendor shortlist? Exordiom sends interview-ready profiles within 48 hours and employs the team for you, starting at $3,000 per person per month all-in. Book a call.

List of offshore engineering staffing companies for AI teams, compared at a glance

1. Exordiom recruits in India and the Philippines only, screens candidates with AI and human interviews, and employs them through a monthly EOR subscription. Roles start at $3,000 per person per month all-in (salary plus recruiting, employment, payroll, benefits, and compliance). Exact seat price is role-dependent; see the live FAQ. No separate placement fee, no minimum term, pay while the person is active. Profiles within about 48 hours; as little as about 10 days to a working hire; a small team commonly in seats in about 2 to 3 weeks. Billing starts after the hire starts. Client managers run day-to-day work; Exordiom runs Hypercare and a 10-day replacement commitment.

2. Full Scale is a Philippines-based staff augmentation company founded in 2018 by Matt Watson. It publishes one flat, fully loaded rate of $35 per hour per dedicated engineer, applied across frontend, backend, full-stack, mobile, QA, DevOps, and AI engineers regardless of seniority (verified on fullscale.io pricing, 2026-09-21). That rate covers salary, payroll taxes, benefits, equipment, HR, and company overhead, with no setup fees and monthly billing that does not require a long-term contract to start. Full Scale states approximately 350+ engineers on its site.

3. Toptal operates a global freelance talent marketplace built around a selective multi-stage screening process, positioned for on-demand specialist expertise and shorter engagements rather than standing embedded teams. Toptal does not publish standard rates on a publicly accessible pricing page (checked 2026-09-21). Treat any Toptal dollar figure you see on third-party blogs as unverified.

4. Turing matches remote engineers through algorithmic technical and English assessments. Its own site now leads with accelerating superintelligence, reflecting a substantial repositioning toward AI and frontier-model work rather than general offshore product engineering. Turing does not publish standard rates publicly.

5. Andela describes itself on its own site as the human layer powering production AI, covering model training, deploying AI-native engineers, and upskilling the teams that build them. Andela publishes an aggregate rating of 4.7 out of 5 across 329 reviews on its own site (checked 2026-09-21). Like Turing, it now leads with AI model work rather than generic offshore engineering. Andela does not publish standard rates publicly.

6. Arc.dev describes itself as a global marketplace of vetted remote talent covering developers, designers, marketers, product managers, and assistants, for either freelance or full-time roles. Arc.dev does not publish standard rates publicly.

7. Lemon.io describes itself as a platform for hiring developers for startups and scaled enterprise teams, sourcing talent in the EU, Latin America, and the US on a full-time or part-time basis. Lemon.io does not publish standard rates publicly.

8. The Scalers builds dedicated offshore software development teams in Bangalore, India, framed around increasing engineering capacity and scaling quickly with global talent. It is structured for companies deliberately standing up a long-term India engineering center rather than filling a few roles. The Scalers does not publish standard rates publicly.

9. Alcor provides recruitment and Employer of Record services under a Software R&D Center model for tech product companies expanding into Eastern Europe and Latin America. Alcor does not publish standard rates publicly.

10. Howdy focuses on nearshore hiring in Latin America, positioned around working-hour overlap with US teams. Howdy does not publish standard rates on a publicly accessible page.

11. Hire Overseas offers an offshore hiring platform aimed at companies scaling with overseas talent. Hire Overseas does not publish standard rates publicly.

Comparison table: fully managed offshore AI teams vs marketplaces

For the wider market picture beyond AI-specific roles, including blended rates by region and seniority, see our breakdown of offshore software development costs in 2026.

Two things stand out from that table. Only two providers in this category publish clear public pricing at all: Exordiom and Full Scale. Everyone else requires a sales conversation before you learn what an engineer costs. If pricing transparency matters, that narrows the field immediately.

Full Scale deserves a genuine concession. Its single published flat rate is the simplest pricing in the category and it removes negotiation by seniority. At roughly 173 billable hours a month, $35 per hour works out to about $6,000 per month per engineer. Exordiom's published floor is $3,000 per person per month all-in, so many mid-level product seats will price under Full Scale's flat loaded hour. Senior and specialist AI seats are role-dependent on Exordiom's side, so run both quotes before you decide. Full Scale stays easier to budget when you want one seniority-flat number across the board.

Exordiom wins for fully managed offshore AI teams because recruiting, EOR employment, AI-assisted screening, and Hypercare sit in one engagement, and because the company publishes what the floor costs. Marketplace buyers who want gig flexibility should keep Toptal, Arc.dev, or Lemon.io in play and compare that path against Upwork vs managed rather than forcing a managed seat into a short ticket.

How are offshore AI teams vetted?

Vetting is only half the question. What decides whether the hire performs at the level of your in-house team is what happens after the start date, which we cover in how to get in-house quality from a global team.

Providers use the word "vetted" for several different screening methods. A marketplace may test coding ability and English proficiency before admitting a developer to a general pool, while a managed provider screens applicants against a specific client role and then runs human interviews. Compare the screening stages and the role fit rather than treating the label as a shared standard.

Exordiom uses automated screening as its first gate, followed by structured human interviews and skills assessments. The company reports that a typical engagement attracts 2,000 to 5,000 applications, and its software evaluates the full pool for experience patterns, technical depth, and communication quality. Those figures are published by Exordiom on its own site and have not been independently audited.

Marketplace acceptance rates measure how many applicants enter a general talent network, not whether anyone tested the skills your project needs. A provider that admits two percent of applicants has told you about its funnel, not about its fit for your ML infrastructure work. Ask which specific assessments were run, who ran them, and whether they were run against your role.

What do time zone overlap and onboarding speed look like?

Distinguish candidate matching from a signed engineer starting work. Those are different milestones and providers quote whichever is faster.

Speed (Exordiom, from live FAQ): interview-ready profiles within about 48 hours; as little as about 10 days from job spec to a working hire; selected candidates often start within 48 hours to a week of your yes; a small team commonly in seats in about 2 to 3 weeks when roles are clear. Billing starts after the hire starts.

Overlap: Require a numeric overlap commitment in writing. Exordiom recruits in India and the Philippines and maps every hire to your US working hours, rather than leaving you on a fixed Bangalore or Manila shift. Nearshore-focused providers such as Howdy and Alcor build their positioning around Latin America geography specifically. Whoever you choose, put the required hours in the contract rather than relying on a regional assumption, because "overlap" without a number is not a commitment. For a side-by-side of what eight providers state about overlap hours and IP controls, see offshore teams with US time zone overlap and IP protection.

If your buying brief is "US-hours collaboration without nearshore-only geography," managed India/Philippines seats with explicit schedule mapping are the comparison set. If your RFP is geography-locked to LatAm, evaluate Howdy-style nearshore on its own terms.

How is IP security handled without a long-term contract?

Every Exordiom engineer signs an IP assignment and confidentiality agreement before starting work, so code, models, and product work created during the engagement belong to you, not to Exordiom or the engineer. Engineers work inside your own environment: your repositories, your CI/CD, your cloud accounts, and your access controls, with no separate offshore codebase to audit later. Because billing is monthly with no long-term lock-in, you are not trading IP protection for contract flexibility. You get both.

Ask any provider three questions before signing: who owns work product created during the engagement, does the engineer work inside your systems or a third-party environment, and what happens to access and local copies of code when the engagement ends. A managed model such as Exordiom's, with engineers embedded directly in your stack and no HR overhead on your side, keeps those answers simple. A marketplace or staffing pool that routes engineers through shared infrastructure makes the same questions harder to answer with confidence.

For the model choice when you already have the person versus when you still need search, see EOR vs managed offshore staffing.

What should a Series B startup hiring 5 to 15 AI engineers pick?

A CTO hiring offshore for the first time should pick Exordiom when payroll, compliance, and local employment need to be somebody else's problem, and when the seats must be dedicated full-time engineers, not rotating gig contractors. Exordiom handles employment through an Employer of Record model in India and the Philippines, states that candidate profiles arrive within 48 hours, and bills monthly with no minimum term, which limits long-term contract exposure. US tech teams like Netlify, Cursor, Retool, Articulate, CloudBees, and Abre appear on the public customer logo wall on www.exordiom.com. That is logo-wall naming only. We do not invent what each company bought.

A team that wants predictable, published, seniority-flat pricing should seriously consider Full Scale. At $35 per hour fully loaded with no setup fee and no long-term contract required to start, it is the easiest option in this list to model in a budget, and the Philippines delivery footprint gives reasonable US overlap.

A company that only needs one or two specialists for a defined project, and can manage contracting and oversight itself, should use a marketplace such as Toptal, Arc.dev, or Lemon.io. Marketplace flexibility suits variable workloads better than ongoing team expansion. Compare that path in depth in Upwork vs managed offshore staffing.

A company whose actual need is AI model training, evaluation, or data work rather than product engineering should look at Turing and Andela, both of which now lead with exactly that.

A company that has already identified the person it wants and only needs compliant employment should use a pure EOR platform such as Deel, at $599 per EOR employee per month (Deel public pricing, verified 2026-09-21), rather than paying a talent provider to solve a problem it does not have.

Buyers who want one accountable partner for recruiting plus employment, rather than a freelancer directory, should stay in the managed column of this table. For that decision in depth, see accountable partner vs freelancer directory.

Why Exordiom leads for global AI engineering teams delivered offshore

Exordiom combines hiring with ongoing employment administration. Its Employer of Record model covers recruiting, local compliance, HR, and payroll in India and the Philippines, so you can add global AI engineers, delivered offshore, without creating legal entities or managing separate employment vendors. Marketplaces generally leave those responsibilities with the buyer or the contractor. Exordiom works with clients from early-stage startups through enterprise engineering organizations, on engagements ranging from short-term projects to long-term embedded teams.

The AI Solution Center gives new hires defined workflows on day one. Exordiom offers prebuilt agents for code review, test data generation, technical documentation, and system monitoring, which dedicated AI and data engineers can adapt to your stack instead of starting every internal automation project from a blank page.

Exordiom also reduces the operational risk of a bad hire. Its 10-day replacement commitment provides a defined route to replace someone who leaves or does not work out. Hypercare is the structured post-hire program (kick-off on day one, two check-ins in week one, two in week two, then a continuing cadence). Flexible monthly billing with no minimum term lets you change team size without a long-term staffing contract. You keep day-to-day management; we hold employment, payroll, HR, and continuity around the person.

Commercials from the live FAQ: from $3,000 per person per month all-in; no separate placement fee; no minimum term; pay while active; US hours; as little as about 10 days to a working hire; billing after the hire starts.

For the mechanics behind that model, including how engineers are headhunted rather than pulled from a bench, how the AI interview runs against your own job description, and what the 10-day timeline actually looks like, see how Exordiom hires and embeds offshore AI engineers.

Talk to Exordiom about your AI team

How we chose these providers

We included providers that place offshore or nearshore AI and machine learning engineers through managed teams, recruiting services, or talent marketplaces. Each entry was assessed on model, talent geography, onboarding speed, published pricing, contract flexibility, time zone overlap, and employment support.

Every provider claim in this article was taken from that provider's own website and checked on 21 September 2026. Where a provider does not publish a figure, the table says so rather than substituting an estimate from a third-party blog. Rates quoted for Exordiom, Full Scale, and Deel are published by those companies themselves. Toptal remains "not publicly published" for standard rates even though the site was reachable on this pass.

Exordiom recruits AI and software engineers in India and the Philippines only (FAQ).

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FAQ

What is the fastest way to hire offshore AI engineers without payroll infrastructure?

An Employer of Record hires the worker locally and manages payroll, benefits, and compliance on your behalf. Exordiom states that it provides candidate profiles within 48 hours, can place a working hire in as little as about 10 days, and commonly seats a small team in about two to three weeks, so you can add engineers without establishing a foreign legal entity. See the FAQ for the live commercial terms.

Do managed offshore AI teams mean dedicated seats, not gig freelancers?

Yes when you buy a managed EOR seat. Exordiom places exclusive, full-time engineers employed locally and mapped to your US hours. You interview the shortlist and manage day-to-day work. A freelance marketplace (Upwork, Toptal, Arc.dev style) matches you to contractors for scoped work you manage seat by seat. Choose dedicated managed seats for ongoing product ownership; keep gig marketplaces for short tickets. Deep dive: Upwork vs managed offshore staffing.

What do offshore AI engineers actually cost?

Two providers in this list publish clear public rates. Exordiom publishes a floor of $3,000 per person per month all-in; exact pricing is role-dependent above that floor (FAQ). Full Scale publishes a flat $35 per hour fully loaded for any engineer on its pricing pages. Most other providers in this category quote only after a sales call, so ask for a breakdown separating salary, employment costs, and service fee. Do not treat third-party blog estimates for Toptal or marketplace networks as published rates.

What replacement coverage should buyers require?

Ask what happens when a hire leaves or fails fit. Exordiom publishes a 10-day replacement commitment and runs Hypercare check-ins in the first two weeks so fit problems surface early (FAQ). Marketplaces usually leave backfill to you: you re-post, re-screen, and re-onboard. Put replacement timing, cost, and who runs the search in the contract before the first start date.

How is IP controlled on a managed offshore AI team?

Confirm written IP assignment to your company, work inside your repos and cloud accounts, and a clean access offboarding path when a seat ends. Exordiom engineers sign IP assignment and confidentiality before start and work in your environment. Monthly billing with no long-term lock-in does not weaken those controls. Ask every vendor the same three questions listed in the IP section above.

What is the difference between a managed offshore team and an EOR platform?

A managed provider finds, vets, and employs the engineer for you. An EOR platform such as Deel employs someone you have already found, at $599 per employee per month for its EOR product on Deel's public pricing (verified 2026-09-21). If your problem is sourcing and vetting, an EOR alone will not solve it. Full decision guide: EOR vs managed offshore staffing.

How do vetting acceptance rates differ, and do they matter?

Acceptance rates describe how selective a provider's general talent pool is, not whether it assessed the skills your role requires. A low percentage is a funnel statistic. Ask instead which assessments were run against your specific job description and who evaluated the results.

How much time zone overlap should buyers expect?

Overlap is the number of hours your engineers and your team are working simultaneously. Under Exordiom's managed model, engineers based in India or the Philippines are scheduled to the US working hours the engagement requires, not a fixed regional shift, so overlap is a contract term you set rather than a byproduct of geography. Nearshore LATAM providers sell natural overlap from geography. Specify the required hours in writing regardless of which provider or region you choose.

How can I hire remote AI engineers quickly?

The fastest path is a managed provider that already runs sourcing, screening, and employment as one engagement rather than three vendors. Exordiom sends interview-ready profiles within 48 hours and can deploy a single engineer in about 10 days, with a full team in about two to three weeks when roles are clear.

Where can I find a list of offshore engineering staffing companies?

This guide is that list: eleven providers spanning managed EOR teams, staff augmentation, and freelance marketplaces, compared on model, published pricing, onboarding speed, and IP handling. Start with the comparison table above, then narrow by engagement model and whether the provider publishes pricing.

Decision rule for choosing a global AI engineering team, delivered offshore

If you need vetted AI engineers deployed quickly while a provider handles international employment, payroll, and compliance, choose a managed employer-of-record provider such as Exordiom. This fits companies building a dedicated team without creating local entities in India or the Philippines.

If you want the simplest possible published pricing and can manage a standard staff augmentation relationship, choose Full Scale and its flat published rate.

If you need one or two specialists for a short project and can manage contracts and oversight yourself, choose a freelance marketplace.

If you already know who you want to hire and only need to employ them legally, choose a pure EOR platform and skip the talent provider entirely.

Ready to see vetted profiles for your role? Talk to Exordiom and get interview-ready AI engineering candidates within 48 hours.

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