AI Developers for your Team Extension

Let us take the guesswork out of recruiting and streamline your hiring process with our data-driven recruitment services. 🚀Check also our AI Developers recruitment services.

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Teams extension

We hire pre-vetted senior IT specialists with strong technical backgrounds and excellent communication skills at an unbeatable price.

🚀Also, we will augment your team with the AI developers.

Pay just one invoice – no hidden fees.

AI talent recruitment challenges in Enterprises

Staff augmentation

In this model, the client pays for the time actually worked by the employee, there are no hidden costs or commissions.

Full and part-time recruitment

We specialize in data-driven recruitment processes, with favorable pricing, improved time-to-hire, and retention program to ensure business continuity.

AI Developers Recruitment

At the crossroads of technology and innovation lies the rapidly evolving realm of artificial intelligence (AI). For businesses to make most of its full potential, partnering with the right talent becomes crucial. Our AI Developers Recruitment service is designed to bridge this very gap.

Objective: Our primary goal is to connect businesses with top-tier AI Developers, Machine Learning Engineers, Data Scientists and LLM/NLP Engineers, ensuring a  match between the client’s project requirements and the developer’s expertise.

Requirement Gathering

We start by understanding your AI project's nuances, desired skill sets, and any specific domain expertise you may require.

Talent Sourcing

Leveraging our extensive network, we identify potential candidates who fit the bill perfectly. This process includes scrutinizing their technical acumen, past project experiences, and domain-specific knowledge.

Vetting & Validation

Before introducing candidates to clients, they undergo a rigorous vetting process. This involves technical assessments, interviews, and soft skill evaluations to ensure they not only possess the right skills but also align with your company culture.

Final Selection

We present a curated list of the best-fit AI developers for your project. The decision to proceed with a candidate remains entirely in your hands, ensuring you always get the right fit for your team.

Ongoing Support & Retention

Our relationship doesn’t end with the recruitment. We offer continued support, ensuring smooth onboarding and addressing any subsequent concerns.

Key roles we recruit for

The role of Machine Learning Engineers has become increasingly pivotal in the modern business landscape. These professionals specialize in developing algorithms and models that enable machines to learn and make decisions with minimal human intervention. Their expertise is crucial in a variety of sectors, from finance to healthcare, where they contribute to enhancing efficiency, automating repetitive tasks, and deriving insights from large datasets.

Key roles and responsibilities

  • Developing Machine Learning models
  • Data analysis and interpretation:
  • Automating data-driven processes

Data Science Specialists are at the forefront of extracting valuable insights from vast datasets. Their expertise in data mining, interpretation, and analysis is invaluable in informing business strategies and operational improvements.. This role involves a blend of statistical analysis, machine learning, and data visualization to extract meaningful insights from vast datasets. These insights are crucial for strategic decision-making across various industries.

Core Functions of Data Science Specialists

  • Statistical analysis and predictive modeling
  • Machine Learning implementation
  • Data visualization and communication

LLM Engineers: These professionals specialize in building and refining large language models that can process vast amounts of text data. They work on cutting-edge technologies like chatbots, virtual assistants, and other AI-driven applications that require a deep understanding of human language. Tools like BERT and GPT often come into play here.

NLP Engineers: NLP Engineers focus on developing algorithms that enable machines to understand and respond to human language in a way that is both meaningful and contextually relevant. Their work is crucial in areas like sentiment analysis, text classification, and language translation

Python, Java programmers with experience in Generative AI and with knowledge on specific models, tools and frameworks dedicated for AI implementation (e.g.  LangChain) for a given business needs.

Their role involves writing and optimizing code for AI applications, such as machine learning models, neural networks, and natural language processing systems. They work closely with data scientists and engineers to integrate AI into software products and services, ensuring these systems are efficient, scalable, and effective. An AI programmer must have a deep understanding of both the theoretical aspects of AI and practical programming skills in languages like Python, R, or Java.

A Big Data Engineer specializes in creating and managing an organization’s Big Data infrastructure and tools. They are responsible for designing, building, and integrating large-scale data processing systems, ensuring the efficient handling and accessibility of large volumes of data.

Key capabilities include expertise in database technologies, programming languages like Python or Java, and experience with Big Data technologies such as Hadoop and Spark. They must also possess strong analytical skills to interpret complex data and convert it into actionable insights. Additionally, Big Data Engineers collaborate with data scientists and analysts, playing a critical role in developing data-driven solutions and strategies.

We search forPython talent across a spectrum of roles including:

  • Backend Developers: Specializing in server-side logic, ensuring seamless data integration and database management.
  • Data Scientists: Harnessing Python’s extensive libraries like Pandas and NumPy to extract insights and drive decision-making.
  • Machine Learning Engineers: Leveraging libraries like TensorFlow or PyTorch to design, implement, and optimize AI-driven models.
  • Automation Engineers: Building scripts and tools to automate processes, often with the aid of Selenium or similar packages.
  • API Developers: Designing and managing API with Python

Our recruitment focus hones in on connecting businesses with this crucial Java expertise across diverse positions:

  • Java Web Developers: Leveraging frameworks such as Spring Boot and Jakarta EE to build scalable and robust web applications.
  • Enterprise Java Beans (EJB) Developers: Crafting business logic using EJB, playing a crucial role in enterprise-level applications.
  • Java Microservices Developers: Implementing microservices architecture, typically with tools like Spring Cloud and Micronaut, to develop modular and easily scalable applications.
  • Middleware Developers: Focusing on communication between different software applications or components using Java-based middleware tools like Apache Kafka or RabbitMQ.
  • JavaFX Developers: Specializing in building rich, interactive desktop applications with superior user interfaces.
  • Performance Engineers: Utilizing Java profilers and various tools to ensure optimal application performance, scalability, and responsiveness.

Our recruitment strategy is adeptly tuned to match businesses with standout Azure talent across a range of positions:

  • Azure Solutions Architects: Masterminding the design and implementation of holistic cloud strategies, ensuring optimal use of Azure’s diverse service offerings.
  • Azure DevOps Engineers: Facilitating a union of development and operations, automating CI/CD pipelines, and optimizing deployment strategies using Azure DevOps.
  • Azure Application Developers: Specializing in building, deploying, and scaling applications on Azure, harnessing services like Azure App Service and Azure Kubernetes Service.
  • Azure Data Engineers: Leveraging Azure’s data solutions such as Azure SQL Database, Cosmos DB, and Data Lake Storage for scalable and resilient data architectures.
  • Azure AI Engineers: Integrating AI capabilities into applications and systems using Azure Cognitive Services and Azure Machine Learning.
  • Azure Security Engineers: Ensuring robust security postures, identity management, and compliance using tools like Azure Security Center and Azure Active Directory.
  • Azure Networking Specialists: Designing and managing networking solutions using Azure Virtual Network, Azure Load Balancer, and Azure VPN Gateway.

Our recruitment approach is laser-focused on linking businesses with the following specific React talent:

  • React Frontend Developers: Harnessing the power of React’s component-based architecture to create dynamic, responsive web applications that enhance user experience.
  • React Native Developers: Adapting React’s principles for mobile app development, crafting seamless apps for both iOS and Android platforms using a singular codebase.
  • Full Stack React Developers: Skilled in both frontend and backend development, often using technologies like Node.js with React to create end-to-end web solutions.
  • React Redux Developers: Specializing in managing application state using Redux, ensuring efficient data flow and state management across large-scale applications.
  • Next.js Developers: Building server-rendered React applications for improved performance and SEO capabilities using the Next.js framework.

Our recruitment focus zeroes in on aligning businesses with top-tier AWS talent across these multifaceted positions:

  • AWS Solutions Architects: Designing and architecting scalable, resilient, and cost-effective cloud solutions, tailoring AWS services to business requirements.
  • AWS DevOps Engineers: Bridging development and operations by automating infrastructure provisioning, continuous integration, and continuous deployment using tools like AWS CodeBuild and AWS CodePipeline.
  • AWS SysOps Administrators: Focused on system operations, monitoring, and management, ensuring the efficient running of applications on the AWS platform.
  • AWS Security Specialists: Prioritizing cloud security, managing identity access, and ensuring compliance using AWS services like IAM and AWS Shield.
  • AWS Big Data Engineers: Harnessing the power of AWS tools like Redshift, Kinesis, and EMR to design and implement big data solutions.
  • AWS Machine Learning Specialists: Leveraging AWS services such as SageMaker and Comprehend to integrate AI and ML capabilities into applications.
  • AWS Networking Specialists: Ensuring optimal connectivity, performance, and security for applications using AWS VPC, Direct Connect, and Route 53.

Our recruitment lens is finely calibrated to match businesses with top-tier automation testing talent across a spectrum of roles:

  • Selenium Testers: Specializing in crafting automated test scripts using Selenium WebDriver to validate web applications across different browsers.
  • API Automation Testers: Focusing on the validation of web services and APIs using tools like Postman and RestAssured, ensuring smooth data exchange and functionality.
  • Mobile Automation Testers: Leveraging frameworks like Appium and Espresso to automate testing for mobile applications across Android and iOS platforms.
  • Performance Testers: Using tools like JMeter and LoadRunner to simulate and analyze system behavior under different load conditions.
  • Continuous Integration Specialists: Integrating automated tests into CI/CD pipelines using Jenkins, Bamboo, or Travis CI, enabling continuous feedback in development cycles.
  • Framework Architects: Designing and building robust, scalable, and maintainable automation frameworks tailored to specific project needs.
  • BDD Specialists: Implementing Behavior Driven Development using tools like Cucumber and SpecFlow, ensuring alignment between technical and non-technical stakeholders.
  • Test Data Management Experts: Creating, managing, and maintaining test data sets for automated testing, ensuring accurate and consistent test results.

How the recruitment cycle looks like?

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2
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vstorm sygnet

Discovery and analysis of needs and expectations:

-Briefing,
-Initial meeting
-Price estimation with the offer

Choosing recruitment strategy & approach:

-Choosing the best team extension model of cooperation.
-Choosing recruitment strategy & approach
-Contract signing and NDA

Data-driven recruitment:

-Publishing and promotion of job offers
-Recruitment outreach to the chosen candidates
-Database matching based on skills and experience

Candidates’ proposal, interview, and offer:

-Proposing candidatures
-Setting interviews
-Candidate offer proposal
-Onboarding & employee retention
-Risk management procedures to ensure business continuity

Estimate cost of your team

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Offer advantages

Data-driven recruitment process

Improving the quality of hires has a direct impact on work efficiency. That may cost $10,000 with a probability of 50%. We solve it by scoring profiles due to the project/customer requirements to make data-driven decisions instead of mood-driven decisions to avoid high-cost mistakes.

Retention program

Bringing in the value of community membership

Zero cost of recruitment

Literally, the customer’s cost-per-hire is equal to zero, we take it on our shoulders. ​​Pre-vetting of developers is on our side, by decreasing the hours engaged by the Hiring Manager and recruiters in your team, you give them more hours for their core job. Imagine that you will save 40 hours per 1 position in total, which saves you on average around $1,000 for a recruiter and $1,000 for Hiring Manager.

Business continuity

The HR team monitors the employee's performance on a monthly basis, and on a quarterly basis, the team conducts deeper interviews with the customer to better understand the employee's performance and receive feedback on cooperation in the project. If something goes wrong, our team develops a recovery plan or starts the recruitment process from scratch before the employee leaves to ensure a smooth transition.

Time-to-hire.

By improving time-to-hire, hired employees can add value faster. The average time to hire in 2022 for IT is 44 days. Vstorm’s average time to hire is 20 days, and we save you an average of 24 days.

Team extension success stories

R&D remote team extension

Vstorm and Sonorys – A Collaborative Triumph in Telecommunications

Through a rigorous selection process, Vstorm successfully identified and delivered highly qualified engineers to Sonorys. These engineers seamlessly integrated into Sonorys’ R&D team, working remotely and contributing their expertise to the company’s projects. The collaboration not only met Sonorys’ technical requirements but also aligned with the long-term vision of the organization.

Read more

Remote Testing Resources for Viessmann R&D Center

Viessmann’s main goal was to hire remote testers to augment their in-house R&D quality assurance team.

Vstorm provided Viessmann with a good-fit pool of quality assurance specialists to fill the position.

Read more

Remote extended tech teams for Atos

The primary objective was to augment the international IT teams in Atos with highly qualified, experienced IT specialists.

Vstorm’s post-hiring efforts and community-first approach lead to a retention rate of 93%, a good rate in the European IT environment.

Read more

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Is there room for collaboration? Talk to a real person!
Piotr Krzysztofik | Chairman & Co-Founder