SoftServe Integrates AI Agents into Teams and Introduces the Role of Intelligence Engineer

The company is scaling up the use of AI agents, which already reduce development time by up to 70%, and is introducing a new profession: Intelligence Engineer.

Over two years of GenAI Lab’s work, the SoftServe team has created more than 200 AI-based solutions for over a hundred clients. AI-powered services are growing at the fastest rate in the company — an 85% year-over-year increase. The highest demand is for agentic systems.

“We are among the few in the world who already implement full development automation through agentic engineering in real client cases — from requirements gathering to testing,” explains Serge Haziyev, Advanced Technologies CTO at SoftServe. “Our strategy has three layers: we create GenAI solutions for clients, use agents to accelerate our own development, and integrate AI into corporate processes. Thanks to partnerships with NVIDIA, AWS, Google Cloud, and Microsoft Azure, we are among the first to access the latest technologies and can deliver measurable results to clients where others are still experimenting.” 

Last year, the industry’s attention was on chatbots and RAG systems (retrieval-augmented generation). Now, it has shifted toward agentic AI and is gradually moving in the direction of Physical AI — systems capable of perceiving and interacting with the real world.

AI Agents Go Live on Projects

GenAI Lab develops practical solutions — from initial prototypes to large-scale business implementation — for clients such as Cisco and Dell.

The company’s developers have access to a wide range of certified AI tools (ChatGPT Enterprise, Cursor, Midjourney, and others), as well as internal agents. The company’s portfolio already includes more than a dozen in-house AI agents that automate project planning, analytics, testing, and engineering tasks. SoftServe is also developing its own Agentic Intelligence Open Platform to simplify development and enable more efficient deployment of AI systems.

SoftServe is already testing AI agents directly within client projects. Depending on the project, their use can reduce development time and costs by 30% to 70%.

“We’re not aiming for people to use AI as just another tool or app. Instead, we strive for effective collaboration between developers and their virtual colleagues — enabling results never seen before,” adds Haziyev.

GenAI Lab creates agents that automate and accelerate software development, as well as specialized agents for specific tasks. These include platforms for drug discovery, hyper-personalized shopping assistants, and manufacturing assistants. SoftServe now deploys solutions across any environment — from cloud to on-premises client servers — using NVIDIA, AWS, Google Cloud, and Microsoft Azure technologies.

A New Profession: Intelligence Engineer

More than 150 specialists are currently working on AI implementation projects, forming cross-functional teams focused on LLMs, agentic engineering, and AI-assisted development. Despite growing demand, the market faces an acute shortage of highly qualified talent, especially in Data Science.

According to a World Economic Forum report, about 92 million jobs may disappear in the coming years due to AI — but 170 million new positions are expected to emerge.

SoftServe is already introducing a next-generation profession — the Intelligence Engineer. This specialist acts as an interface between human expertise and agent output: orchestrating agents, validating their performance, and ensuring proper integration. The GenAI Lab team already includes 40 such professionals, with plans to at least double that number within the next year.

Three Skills for the Future

According to Serge Haziiev, the three key competencies that will remain vital in the market are:

• Expertise in business domains

• Architectural design of information systems

• AI agents orchestration

The company is actively preparing its teams for these changes: over 50% of employees, mostly from delivery units, have already completed AI training and gained the skills required to work with these technologies.

Depending on the skill level, SoftServe offers several learning tracks — from basic courses to deep technical specialization. Employees can also earn international certifications from NVIDIA, AWS, and Google Cloud Platform, and participate in internal AI hackathons and technical workshops.