Top AI Engineer Staffing Companies

Index.dev vs Andela: full comparison for 2026

Quick verdict

Index.dev (4.2/5) edges ahead of Andela (4.1/5) overall. Index.dev is the better choice for startups that want a 30-day refundable trial before committing to a remote ML engineer. Andela is the stronger option for companies building a long-term remote engineering group outside the U.S. that includes some ML roles. The right choice depends on your project size, budget, and required tech stack.

Index.dev vs Andela: head-to-head summary

Criterion Index.dev Andela
Founded 2019 2014
HQ London, United Kingdom New York, USA
Team size 30,000+ network 300–500 staff; large engineer marketplace
Rating 4.2 / 5 4.1 / 5
Primary differentiator A 30-day trial with full refund on every placement Assessment tooling from its 2026 Woven acquisition plus an in-house AI training academy
Pricing model Monthly rate per engineer; direct-hire fee option; 30-day trial with refund; rates on request Monthly rate per engineer; marketplace and managed options; rates on request
Min. engagement Not published Not published
Primary tech stack Python, PyTorch, TensorFlow Python, TensorFlow, PyTorch
Industries served SaaS, Fintech, E-commerce, Healthcare, AI labs Technology, Financial services, Media, Healthcare, Retail

Index.dev vs Andela: overview

Index.dev

Index.dev is a London company, founded in 2019 according to its own job ads, trading under the legal name Index Soft Limited. It calls itself an AI-first engineering talent platform. Its main network has more than 30,000 engineers in Latin America and Central and Eastern Europe, and a separate AI unit supplies Master's and PhD-level people for LLM fine-tuning and RAG work. Every engineer goes through five stages of vetting run by people, including a live screening call and technical validation, and Index.dev says about 1% are accepted. All placements come with a 30-day trial and a full refund if the match fails.

Andela

Andela started in 2014 in Lagos and is now headquartered in New York, running a private marketplace of engineers from Africa, Latin America and other regions. In January 2026 it acquired Woven, a company that builds technical assessments, to strengthen how it checks real engineering ability. It also runs an AI Academy and in 2025 committed to training 3,000 technologists in AI coding with GitHub. Profile counts in the six figures are unverified. Andela suits companies that want long-term remote engineers at lower cost than U.S. hiring, with screening that is becoming more rigorous but is still largely general software assessment.

Services and capabilities: Index.dev vs Andela

Capability Index.dev Andela
ML engineers ✓ ✓
LLM / GenAI engineers ✓ ✓
AI agent developers ✗ ✗
MLOps engineers ✗ ✗
Computer vision engineers ✗ ✗
NLP engineers ✗ ✗
Data engineers ✗ ✓
Engineer-led technical screen ✗ ✗
Fractional / part-time experts ✗ ✗
Trial before commitment ✓ ✗
Nearshore time-zone overlap ✓ ✗
Direct hire option ✓ ✗

Tech stack comparison: Index.dev vs Andela

Framework / platform Index.dev Andela
PyTorch ✓ ✓
TensorFlow ✓ ✓
LangChain ✓ N/A
Hugging Face ✓ N/A
OpenAI ✓ ✓
AWS ✓ ✓
Azure N/A ✓
Google Cloud ✓ ✓
Databricks N/A N/A
Kubernetes N/A N/A

Pricing comparison: Index.dev vs Andela

Criterion Index.dev Andela
Minimum engagement Not published Not published
Engagement models Dedicated engineer, Dedicated team, Direct hire, Trial period Dedicated engineer, Dedicated team, Freelance contract
Rate transparency Not public Not public
Price tier Mid-market Mid-market

Target audience comparison: Index.dev vs Andela

Dimension Index.dev Andela
Best company size Startup to mid-market Startup to mid-market
Best industries SaaS, Fintech, E-commerce Technology, Financial services, Media
Best use cases Trialling a Latin American ML engineer for a month before committing, Hiring a PhD-level specialist to fine-tune an open-source LLM Hiring a remote data engineer for a long product roadmap, Adding an ML engineer to an existing Andela-staffed team
Typical project type Dedicated engineer Dedicated engineer

Index.dev vs Andela: pros and cons

Index.dev
+ The 30-day refundable trial is the most generous published trial on this page
+ A separate AI unit for advanced work such as fine-tuning
+ Clients can hire directly as well as contract
- Vetting is human-led but not specifically run by ML engineers
- Network figures and acceptance rates are company claims
- Founding date only appears in job listings
Andela
+ Woven's assessments test practical engineering rather than quiz answers
+ Strong in Africa and Latin America, with lower rates than U.S. hiring
+ Trains its own engineers in AI tooling
- The Woven integration is new, so its effect on ML vetting is unproven
- Most of the pool is general software talent, not ML specialists
- Network-size figures come from secondary sources

Who should choose Index.dev?

A typical fit: trialling a Latin American ML engineer for a month before committing.

A 30-day trial with full refund on every placement. Minimum engagement is not publicly disclosed. Works best with clients in SaaS, Fintech, E-commerce, Healthcare, AI labs.

Who should choose Andela?

A typical fit: hiring a remote data engineer for a long product roadmap.

Assessment tooling from its 2026 Woven acquisition plus an in-house AI training academy. Minimum engagement is not publicly disclosed. Works best with clients in Technology, Financial services, Media, Healthcare, Retail.

Decision matrix: Index.dev vs Andela

Your situation Recommended choice
You want a working engineer, not a recruiter, to run the technical screen Neither documents an engineer-led screen; run your own technical interview
You need one specialist for a few days a week Neither advertises part-time experts; ask about reduced hours
You need several engineers working as one team Andela
You want to test an engineer before committing Index.dev
Your budget is at the lower end Compare: Index.dev (Not published) vs Andela (Not published)
Your team works U.S. hours Index.dev
You may want to hire the engineer permanently later Index.dev

Use case fit: Index.dev vs Andela

Use case Index.dev fit Andela fit Winner
Trialling a Latin American ML engineer for a month before committing Strong Limited Index.dev
Hiring a PhD-level specialist to fine-tune an open-source LLM Strong Strong Both equally
Hiring a remote data engineer for a long product roadmap Strong Strong Both equally
Adding an ML engineer to an existing Andela-staffed team Limited Strong Andela

Verdict: Index.dev vs Andela

Index.dev (4.2/5) is the stronger overall choice for most AI Engineer Staffing projects. A 30-day trial with full refund on every placement.

Andela (4.1/5) is worth a look if you need adding an ML engineer to an existing Andela-staffed team. If your situation matches that, Andela is a competitive option.

Related comparisons

Index.dev vs Andela FAQ

Is Index.dev better than Andela?

Index.dev (4.2/5) scores higher overall, but "better" depends on your use case. Index.dev's strongest advantage: the 30-day refundable trial is the most generous published trial on this page. Andela's strongest advantage: Woven's assessments test practical engineering rather than quiz answers.

How do Index.dev and Andela differ in pricing?

Index.dev uses monthly rate per engineer; direct-hire fee option; 30-day trial with refund; rates on request pricing. Andela uses monthly rate per engineer; marketplace and managed options; rates on request pricing. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.

Which is better for enterprise: Index.dev or Andela?

Andela is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each company before shortlisting.

What are the main differences between Index.dev and Andela?

Index.dev's primary differentiator is: a 30-day trial with full refund on every placement. Andela's primary differentiator is: assessment tooling from its 2026 Woven acquisition plus an in-house AI training academy. They also differ in team size (30,000+ network vs 300–500 staff; large engineer marketplace), minimum engagement (Not published vs Not published), and primary industries served (SaaS, Fintech vs Technology, Financial services).

Verify all details directly with each company before making a decision.