What you will work on

• Be the CEO of your product — own the strategy, outcomes, and growth
• Define the product vision and align it with shareholders, partners, and key clients
• Manage the full product lifecycle: from ideation and hypothesis testing to market launch and scaling
• Assemble and coordinate a cross-functional team (engineering, UX/UI, analytics, marketing, sales)
• Define, track, and improve key product and financial metrics
• Organise data and analytics workflows to support decision-making
• Test hypotheses, launch MVPs, and manage the product roadmap
• Maintain client and partner communication, representing the product as a business unit
• Ensure delivery against timelines, quality standards, and commercial targets

What we expect

• Experience as a Product Owner / Product Manager in tech companies, or Associate+ level at a top consulting firm (McKinsey, BCG, Strategy&, etc.)
• A product leader equally comfortable with analytics, strategy, and technology
• You want to build products that change how companies make decisions, not just manage a process
• Understanding of enterprise clients and B2B solution deployment
• Ability to manage the product cycle — from discovery to release
• Familiarity with LLM systems, multi-agent pipelines, and API integrations
• Ability to bridge communication between clients and the technical team
• Proactive, structured, and accountable for results
• Fluent in English and Russian

Nice to have:

Experience with Agentic AI, LangGraph / LangChain, international consulting background, and UX research skills.

What you will work on

• You will join the team building enterprise-grade multi-agent AI solutions — from first hypotheses to real-world deployment
• Market and competitor research, product strategy formation and growth opportunities
• Customer development — interviews, focus groups, tests, and field research
• Data analysis and transformation into insights and development priorities
• Collaboration with engineers and the R&D team, bridging client requests with product logic and technology
• Support in launching and customising solutions for enterprise clients
• Contribution to pitch decks, presentations, and analytical materials
• Depending on seniority, you may lead other analysts and help structure research tasks

What we expect

• An analyst who thinks about business and product simultaneously
• You want to see how data turns into meaningful AI products used by real companies
• Experience with B2B / enterprise technology products and understanding of enterprise clients
• Ability to conduct qualitative and quantitative research and translate it into product decisions
• Proficiency with analytics tools (SQL, Python — preferred but not required) and confident use of PowerPoint and Excel
• Ability to manage priorities, build structure, and drive tasks to completion
• Effective communication with both engineers and business stakeholders
• Working proficiency in Russian and English

Nice to have:

Experience in consulting (McKinsey, BCG, Strategy& etc.), AI or product startups, familiarity with Agentic AI and LLM applications.

What you will work on

• Build the technological core of an AI platform and establish a robust backend infrastructure from scratch — no legacy, full ownership of technical decisions
• Work with a modern stack, clean code, and high engineering standards
• Develop and scale async backend services in Python (FastAPI / Django)
• Design and integrate RESTful APIs with the frontend and external systems
• Work with PostgreSQL / MySQL, optimise queries and database schemas
• Set up Docker environments and CI/CD pipelines
• Implement caching, queues, and background tasks (Redis, Celery, Kafka)
• Monitoring and logging with Prometheus / ELK
• Collaborate with product, frontend, and DevOps teams
• (Optional) Mentoring, code reviews, and technical leadership

What we expect

• An engineer who values clean architecture and pragmatic solutions
• You embrace the startup mindset — not just writing code, but building the foundation of a future product
• 3+ years of Python experience with modern backend frameworks
• Confident with microservice architecture design and async processes
• Proficient with containerisation and deployment tools (Docker, Nginx, Gunicorn)
• Experience with CI/CD setup and Linux environments
• Proficient with PostgreSQL / MySQL, able to optimise queries and schemas
• Clear communicator, accountable, and a team player
• (Nice to have) Familiarity with web scraping, startup experience, or AI / big data projects

Tech stack:

• Backend: Python, FastAPI, Django, Django Rest Framework (DRF)
• Databases: PostgreSQL, MySQL
• DevOps: Docker, Nginx, Gunicorn, CI/CD (YAML)
• Queues & tasks: Redis, Celery, Kafka
• Monitoring: Prometheus, ELK

What you will work on

• Build multi-agent AI platforms and connect science with real business. Your work will turn complex models into solutions used by both large enterprises and individual entrepreneurs
• Design multi-agent pipelines in LangGraph — with memory, reasoning logic, and agent interactions
• Work with leading LLM families (LLaMA, Qwen, GPT, Claude, DeepSeek, Gemini, GigaChat)
• Deploy and scale models via vLLM / Ollama on A100/H100 clusters
• Build secure and reliable tool-calling architectures (Trustcall)
• Evaluate and optimise pipeline quality using LangSmith and custom metrics
• Integrate with FastAPI, corporate data sources, and external systems
• Depending on focus, you will either deepen one product for mass distribution or work closely with client teams across specific industries

What we expect

• A Data Scientist equally comfortable in research and production
• You are interested in multi-agent system architecture, LLM scaling, and finding elegant solutions that make businesses smarter
• Experience deploying and optimising LLMs (open-weight and API-based)
• Experience designing or configuring LangGraph / multi-agent pipelines
• Ability to evaluate and debug complex LLM systems
• Can move quickly from prototype to production-ready solution
• English proficiency sufficient for reading papers and communicating with partners

Tech stack:

• LLMs: LLaMA, Qwen, GPT, Claude, DeepSeek, Gemini, GigaChat
• Architectures: LangGraph, CrewAI, AgentZero
• Infrastructure: vLLM, Ollama, Docker, A100/H100 clusters
• Backend: FastAPI, Alembic, PostgreSQL
• Security: Trustcall (secure tool calling)
• Evaluation: LangSmith, custom metrics
• Optimisation: Unsloth, LoRA, PEFT

Nice to have:

Experience with CrewAI / AgentZero, LoRA / PEFT, knowledge of FastAPI, PostgreSQL, Docker, and experience building secure AI architectures.

What you will work on

• Build thoughtful, visually strong interfaces that make complex AI solutions intuitive and user-friendly
• Every day is an opportunity to shape user experience, not just write code
• Develop modern web applications using React + TypeScript
• Work with the design system and components in Storybook
• Integrate with APIs and configure backend interactions
• Create responsive and intuitive interfaces that speak for themselves
• Collaborate with designers and the AI/ML team — from idea to release
• Participate in architectural decisions and UI experience improvements
• Continuous product development: experiments, new features, optimisation

What we expect

• 3+ years of React and TypeScript experience
• You understand how ideas turn into real products
• Ability to design responsive, clean interfaces
• Familiar with Zustand / MobX / Effector and REST API principles
• Comfortable communicating with both designers and backend engineers
• Proficient in English and Russian
• Comfortable in a startup environment where much depends on you
• You will advance our products and deliver measurable value to our clients

Tech stack:

• Frontend: React, TypeScript, Next.js, Tailwind, Zustand, Storybook
• Integrations: REST API, WebSocket
• UI/UX: component design, responsive layouts, design system collaboration