Hire a Dedicated AI Engineer
from India – Inside Your Team.

A domain-trained AI engineer placed exclusively inside your team in 15-20 working days. You set the priorities and direct the work. Samera handles HR, payroll, and compliance. You own everything built.

AI Brain

WORKING DAYS TO
PRODUCTIVE WORK

ROLE TYPES
AVAILABLE NOW

IP OWNERSHIP
STAYS WITH YOU


Hire an AI engineer – not an outsourcing firm.

“This is not outsourcing. Your engineer works for you.”

In outsourcing, a third party decides who works on your project, manages the team, and delivers a result. You have limited visibility and no direct control.

With the dedicated model, a specific named engineer works exclusively on your projects, under your direction, integrated into your team. The difference is control, continuity, and accumulated knowledge of your business.

A dedicated engineer’s value compounds over time. They learn your systems, your processes, your language. A contractor on a fixed project never gets there.

The businesses getting the most from AI engineering in 2026 are not the ones who commission the most one-off projects. They are the ones who have embedded capability that builds on itself month after month.

Start with one engineer and one defined project. Once the model is working, expand to a team. Samera handles the recruitment, training, and infrastructure as you scale.

  • You set the priorities and direct the work daily
  • The engineer attends your stand-ups and uses your tools
  • Knowledge accumulates in your business, not ours
  • Every line of code and system built belongs to you
  • Samera handles employment, HR, payroll, and compliance

AI engineers available to hire – twelve roles, all from India.

Every engineer placed through Samera comes from the BIT Sathyamangalam pipeline and completes pre-deployment training at our Coimbatore Innovation Lab. They arrive domain-ready – not learning your industry on the job.

AI / MLOps Engineer

Deploys, monitors, and scales AI models in production. Manages model performance, drift, and retraining pipelines. Non-negotiable for any business running AI in production.

Machine Learning Engineer

Designs, trains, and deploys ML models that learn from data to make predictions or decisions. The core builder role for predictive and classification systems.

LLM / Generative AI Engineer

Builds applications powered by large language models – from prompt engineering to fine-tuning and deploying generative AI solutions. The most in-demand role in 2026.

RPA Developer

Creates software bots using robotic process automation tools to handle rule-based, high-volume tasks – data entry, invoice processing, workflow routing.

Python Automation Engineer

Writes Python scripts and tools to automate workflows, data processing, and system integrations. Versatile – often the right first hire for a business starting its automation journey.

Data Pipeline Engineer

Builds and maintains the infrastructure that moves, transforms, and loads data across systems – the foundation on which everything else runs.

NLP Engineer

Develops systems that understand, interpret, and generate human language – chatbots, document parsing, email triage, sentiment analysis.

AI Integration Specialist

Connects AI and ML models into existing business applications, APIs, and enterprise platforms so they work reliably in production.

Workflow Automation Developer

Designs and implements end-to-end automated workflows across departments using low-code, no-code, and custom-built tools.

AI QA Engineer

Tests and validates AI models and automated systems for accuracy, bias, edge cases, and production reliability. Essential for teams shipping AI at scale.

Full-Stack AI Developer

Handles the complete build – from frontend interfaces to backend AI logic – delivering end-to-end AI-powered applications.

Business Process Automation Consultant

Analyses existing business processes, identifies automation opportunities, and designs the roadmap to implement them across the organisation.

Three layers of capability. Before they start.

Every engineer placed through Samera arrives with two layers of preparation built before they join your team – plus ongoing mentorship after placement. They do not need three months to become useful.

Engineering Foundation

A B.E. / B.Tech degree from BIT Sathyamangalam – one of South India’s premier autonomous engineering colleges. Strong foundations in Python, data structures, machine learning, and software development depending on specialism.

Finance & Business Training

Before deployment, every engineer completes a 12-week Accounts, Finance and Business Operations programme delivered jointly by Samera Global and BIT.

Covers:

  • UK accounting and operational standards relevant to client work
  • The complete accounting cycle and all three core financial statements
  • Double-entry bookkeeping and financial data interpretation
  • GST, TDS, income tax and company compliance frameworks

Ongoing Mentorship

After placement, engineers remain connected to the Innovation Lab ecosystem – ongoing mentorship from the Coimbatore lab lead, continuous upskilling, and knowledge sharing across the full Samera engineer cohort.

Discovery call to productive engineer in 15-20 working days.

Six steps. Owned clearly between Samera and the client at each stage. No ambiguity about who does what or when.

Discovery Call

We map the requirement in detail – the role, the systems the engineer will work in, what they will build, and what outcomes the client expects. The tech lead is on this call.

OWNED BY: SAMERA + CLIENT

Candidate Matching

We identify the right engineer from the BIT pipeline – matched on technical specialism, domain readiness, and fit with the client’s working style and priorities.

OWNED BY: SAMERA

Client Interview

The client reviews the engineer’s profile and conducts an interview or technical assessment to confirm the match. The client has final approval on who joins their team.

OWNED BY: CLIENT + SAMERA

Onboarding Preparation

The engineer is briefed on the client’s systems, workflows, and standards. A focused preparation phase where the engineer studies the client’s environment before starting.

OWNED BY: SAMERA

Systems Access & Setup

The client provides access to tools, communication channels, and documentation. The engineer is set up on all relevant platforms and integrated into the working environment.

OWNED BY: CLIENT

Productive Work Begins

The engineer starts contributing. From this point they work as a dedicated member of the client’s team – same tools, same standups, same priorities. Samera monitors and supports.

OWNED BY: CLIENT (DIRECTION) · SAMERA (INFRASTRUCTURE)

Typical turnaround: 15-20 working days from discovery call to productive engineer.For clients where the role closely matches an engineer already on the Innovation Lab bench, this timeline can compress further.

Four things. That’s it.

To ensure a fast start, we ask clients to have these in place before the engineer’s start date. Nothing complex – just the basics that let the engineer contribute from day one.

Systems access

Logins and permissions for whatever software the engineer will be working in – accounting platforms, practice management systems, development environments.

Single point of contact

A named person on the client’s side who can answer questions, provide direction, and serve as the engineer’s day-to-day reference point.

Workflow documentation

Any existing documentation on current processes or workflows. Even informal notes or a walkthrough call is enough to get started.

Communication tools

The engineer set up on your preferred communication platform. Microsoft Teams is the standard – or whatever your team uses.

Day-to-day communication: Engineers work according to your office hours – no time-zone friction during the working day. Microsoft Teams as the primary communication tool. Monthly review calls between Samera and the client to discuss progress and any adjustments. Samera monitors engineer logins and working hours to ensure consistent attendance and accountability.

A fraction of the UK equivalent.

A UK-based AI engineer costs £75,000–£120,000+ all-in per year. A Samera-placed dedicated engineer costs significantly less – with HR, payroll, compliance, and management already handled.

£2,500–£3,000/month

vs £75,000–£120,000+ all-in per year for a UK equivalent

  • Named engineer, your projects only
  • Works your office hours – no time-zone friction
  • HR, payroll, and compliance managed by Samera
  • Monthly performance reviews
  • Ongoing Innovation Lab mentorship
  • 100% IP ownership stays with you
  • Standard notice period to end – no lock-in

All-in fee

No hidden costs beyond the monthly fee

  • Engineer salary and employment costs
  • HR and payroll management
  • Compliance and regulatory infrastructure
  • Equipment and software licences
  • Ongoing BIT mentorship and upskilling
  • Samera account management and oversight

Built for businesses that want to build.

ACCOUNTANCY FIRMS

You have repeatable workflows that drain your team’s time. A dedicated engineer builds the automation that lets your people focus on advisory work, client relationships, and the thinking that grows your firm.

DSOS & DENTAL GROUPS

Multi-site complexity requires ongoing engineering capability, not one-off projects. A dedicated engineer builds the infrastructure that standardises and automates operations across your group as it grows.

PE-BACKED BUSINESSES

Fast growth creates operational complexity. A dedicated engineer builds the reporting infrastructure, data pipelines, and automation that keeps your back office in step with your portfolio.

STARTUPS

You do not need a ten-person engineering team. One dedicated AI engineer who understands your operations, builds the right systems, and scales your back office as you grow – at a fraction of UK cost.

We built our own GCC. Then we built this.

Every engineer placed through Samera comes from the BIT Sathyamangalam pipeline and completes pre-deployment training at our Coimbatore Innovation Lab. They arrive domain-ready – not learning your industry on the job.

Founded in 2004. Two decades of real-world expertise in global operations, offshore talent, and building teams in India for UK businesses.

A formal academic partnership gives us direct access to India’s best engineering graduates before they enter the open market – pre-trained in UK business context.

Every line of code, every system, every automation the engineer builds belongs to your business. No vendor dependency. No IP disputes. Complete ownership from day one.

GDPR-compliant and ICO-registered. Client data and systems access are protected at every level. ICAEW and NASSCOM accredited.

We set up and run our own Global Capability Centre in India. We understand the infrastructure, the compliance, and the day-to-day reality – because we live it ourselves.

We run our own accounting firm, our own dental practices, and our own AI product – samera.ai. When we talk about building operational capability with AI, we are describing our own business.

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