TalentStores

Engineering talent

Hire Remote Engineering Teams in India

TalentStores sources dedicated remote engineering teams in India through vetted recruiters and staffing partners, screens them with TalentOS, and employs them via EOR or partner payroll — so a backend, full-stack, AI/ML or DevOps pod can be delivering inside weeks.

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Shortlist
~1 week
Pod live
4–8 weeks
Engagement models
Pod · Individual · BOT

How it works

You describe the pod, not just the req: the stack, the delivery outcome, seniority mix and the overlap hours you need. TalentOS turns that into a structured requirement and routes it to the recruiters and staffing partners in our marketplace with a proven track record in that exact skill family and city.

Multiple partners work the requirement in parallel against one scorecard. Every submission is screened by TalentOS — resume-to-requirement scoring, structured skills evidence and an explainable rationale — before it reaches your inbox, so your engineers interview a short, comparable shortlist instead of triaging noise.

Once you select, TalentStores handles the commercials and employment: EOR for full-time pods, partner payroll for contract, or a build-operate-transfer path if the team is eventually yours. Utilisation, attrition, replacements and invoices then run in the same platform as the rest of your workforce.

  1. 1

    Define the pod

    Stack, seniority mix, delivery outcome and required overlap hours captured once.

  2. 2

    Multi-partner sourcing

    Vetted India recruiters and staffing partners work the same requirement against one scorecard.

  3. 3

    TalentOS screening

    Every candidate scored and explained before your engineers spend interview time.

  4. 4

    Engage and run

    EOR, contract or BOT engagement with utilisation, replacements and billing in-platform.

What's included

  • Backend and full-stack pods

    Java, Go, Node, Python, .NET, React and mobile engineers sourced by skill family, not keyword match.

  • AI/ML and data engineering

    LLM application, MLOps, data platform and analytics engineers from India's deepest AI talent markets.

  • DevOps, SRE and platform

    Cloud, Kubernetes, IaC and reliability engineers with on-call and delivery-model expectations agreed upfront.

  • Engineering managers and leads

    Pod leadership sourced alongside the team so delivery ownership sits in-country.

  • Replacement guarantees

    Partner-backed replacement terms captured in the contract and tracked against partner scorecards.

  • One commercial layer

    Rate cards, margins, timesheets and invoices for every partner consolidated on one bill.

Why India for remote engineering

  • Depth across every stack

    The largest concentration of software engineers outside the US, with mature talent pools in Bengaluru, Hyderabad, Pune, Chennai and NCR.

  • Real cost advantage

    Fully loaded cost of a senior engineer is typically a fraction of US or Western European equivalents, without dropping seniority to get there.

  • Product-company experience

    A generation of engineers built inside global capability centres and Indian product companies, not only services firms.

  • AI/ML momentum

    Fast-growing LLM, MLOps and data engineering supply as GCCs move AI work into India.

  • English-first delivery

    Written and spoken English as the working language across engineering, with agile and code-review norms already in place.

  • Scalable, not one-off

    A pod that works can be doubled from the same partner network rather than restarted from scratch.

Team models

Three ways to engage, chosen by how permanent and how independent the capability needs to be.

  • Dedicated pod

    A ring-fenced team of four to fifteen engineers plus a lead, working only on your roadmap, employed via EOR or partner payroll. Best when you want throughput on a product area without owning an entity.

  • Individual hires

    One or a handful of engineers embedded into your existing teams. Best for filling specific skill gaps, spiky demand or replacing attrition quickly.

  • Build-operate-transfer (BOT)

    TalentStores and partners build and run the team, then transfer employment to your Indian entity on an agreed date. Best when India is a long-term capability, not a stopgap.

Vetting and screening

TalentOS scores and explains; your engineers decide. Every stage is recorded against the candidate.

  • Requirement modelling

    The role is broken into skill evidence, seniority signals and must-have versus nice-to-have before sourcing begins.

  • AI screening with rationale

    TalentOS scores every submission against that model and shows why — no opaque ranking, no auto-rejection without a reason.

  • Technical assessment

    Job-family assessments and structured coding exercises run through the platform, with results attached to the profile.

  • Partner-led interviews

    Recruiter and partner screens captured as structured notes so your panel starts from evidence, not a fresh resume read.

  • Reference and background checks

    Employment verification and BGV ordered through accredited screening partners before the offer is released.

  • Panel scheduling

    Interview loops coordinated across time zones inside the platform with feedback captured per stage.

Time zone and delivery model

  • US overlap

    Typically a 2:30pm–11:30pm IST shift giving three to four hours of live overlap with US East Coast mornings.

  • Europe overlap

    Standard IST hours already overlap most of the UK and EU working day — no shift premium required.

  • APAC overlap

    Near-complete overlap with Singapore, Australia and the Gulf for teams operating in those regions.

  • Async by default

    Written specs, recorded demos and decision logs so delivery does not depend on a single overlap window.

  • Delivery cadence

    Sprint rituals, code review SLAs and escalation paths agreed at kickoff and tracked in the engagement record.

  • On-call and support

    Follow-the-sun coverage models where the pod carries a defined portion of production support.

Frequently asked questions

How fast can a remote engineering pod in India be delivering?

Shortlists typically land within a week of the requirement going live, and a four-to-six engineer pod is usually staffed and onboarded within four to eight weeks depending on seniority and notice periods, which in India commonly run 30 to 90 days.

Do we manage the engineers directly?

Yes. Day-to-day direction, roadmap, code review and performance stay with you. TalentStores and the employing partner handle sourcing, employment, compliance, payroll and commercials.

What is the difference between a dedicated pod and staff augmentation?

A dedicated pod is a ring-fenced team with its own lead working on one product area, sized for throughput. Staff augmentation places individual engineers into your existing teams. Pods suit sustained roadmap work; individual hires suit specific gaps.

How do you screen for AI/ML and DevOps roles specifically?

Each job family has its own evidence model — model deployment and evaluation experience for AI/ML, incident and IaC depth for DevOps — and TalentOS scores against that model rather than a generic keyword match, with the rationale shown to your panel.

What happens if an engineer does not work out?

Replacement terms are agreed in the partner contract before the engagement starts, and every partner's replacement rate and time-to-replace is tracked on their scorecard, so repeat performance is visible rather than anecdotal.

Can the team eventually become our own employees?

Yes — that is the build-operate-transfer model. The pod runs under partner or EOR employment first, and transfers to your Indian entity on an agreed date with continuity of service handled in the transfer workflow.

Related solutions

Download the Remote Engineering Hiring Playbook

Pod sizing, India salary benchmarks by stack and seniority, notice-period planning, overlap models and a screening scorecard you can reuse.

Ready to talk through Remote Engineering Teams in India?

Book a working session with our team, or take a self-guided tour of the platform first. Either way you will see the real workflow, partners and commercials before you commit.

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