Intellias
Senior / Principal Full Stack AI Practitioner
IntelliasUkraine2 days ago
Full-timeInformation Technology

Let’s breathe life into great tech ideas! With more than 3,000 people globally, Intellias is a company where benchmark technological solutions are born. Join in and take your part in digitalizing the world.


We are seeking a highly hands-on Senior / Principal Full Stack AI Practitioner to lead rapid prototyping, solution engineering, and AI adoption across client and internal projects.


Requirements:

Technical Expertise

  • 5+ years of experience in full-stack software development, with strong engineering fundamentals.
  • Deep hands-on expertise in:
  • Primary stacks: JavaScript/TypeScript (React, Next.js, Node.js), Python (FastAPI, Django, Flask).
  • Secondary stacks: Java (Spring Boot), .NET (ASP.NET Core, Blazor).
  • Proven experience using GitHub Copilot/Claude or similar AI pair-programming tools for real-world projects.
  • Experience with Replit, Lovable, or comparable AI-enabled development environments.
  • Strong understanding of LLM integration, RAG pipelines, vector databases (Pinecone, Weaviate, FAISS), and AI orchestration frameworks.
  • Proficiency in cloud-native development (AWS, GCP, Azure), containerization (Docker, Kubernetes), and DevOps automation.
  • Familiarity with mobile app prototyping (React Native, Flutter) and frontend design workflows is a plus.

Soft Skills & Leadership

  • Builder-first” mindset — passionate about coding, experimenting, and rapid delivery.
  • Excellent problem-solver who thrives in ambiguity and can prototype under tight timelines.
  • Skilled communicator with the ability to convey complex AI concepts to non-technical stakeholders.
  • Proven mentor and technical coach with a track record of enabling others through hands-on guidance.
  • Entrepreneurial and adaptable — comfortable working across multiple client industries and technology stacks.


Responsibilities:

Rapid Prototyping & Solution Development

  • Design, develop, and iterate AI-powered web and mobile applications end-to-end.
  • Rapidly turn client or internal ideas into functional prototypes and proofs of concept.
  • Build and integrate LLM-based features, RAG workflows, and AI/ML APIs (OpenAI, Anthropic, Hugging Face, etc.).
  • Leverage AI-assisted development tools — especially GitHub Copilot, Replit, Lovable, and similar environments — to accelerate coding, refactoring, and ideation.
  • Deliver prototypes with clean, extensible architectures that can evolve into long-term solutions.

Project Bootstrapping

  • Establish robust, scalable architecture foundations, repositories, CI/CD, and cloud environments for new AI projects.
  • Develop and maintain starter templates, AI integration kits, and best-practice codebases for rapid reuse.
  • Partner with design and product teams to define MVP scopes and iterate fast to achieve client validation.

AI Training & Internal Enablement

  • Conduct hands-on training sessions, bootcamps, and code labs on topics including:
  • AI integration patterns
  • LLM application development
  • Using GitHub Copilot effectively for productivity, code quality, and AI-assisted design
  • Mentor engineers on prompt engineering, AI-first solution design, and prototyping workflows using modern tools.
  • Help institutionalize best practices for AI pair programming and AI-augmented software engineering.

AI Adoption & Evangelism

  • Act as an AI and productivity champion within delivery and client teams.
  • Partner with pre-sales and solutioning teams to build PoCs, accelerators, and client demos showcasing AI value.
  • Continuously research and evaluate emerging AI toolchains, SDKs, and coding assistants.
  • Drive organization-wide adoption of AI-assisted development workflows to increase engineering speed and innovation capacity.


Why this position:

This role is for a maker and innovator — someone who codes daily, thrives on turning concepts into working prototypes quickly, and helps delivery teams accelerate through modern AI-assisted development practices. You will be at the forefront of integrating LLMs, AI APIs, and AI coding assistants like GitHub Copilot into the company’s engineering culture and project delivery.

Key Skills

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