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Engineer Intelligence. Define the Edge. Join Sofycod.

At SOFYCOD, we build the brains for complex ecosystems. Our mission is to engineer flawless systems powered by AI, Computer Vision, and Deep Learning. We operate where standard libraries end and intensive R&D begins.


Who are we looking for?

We need those who live and breathe the world of AI, CV, and DL. We’re looking for engineers who aren’t intimidated by "dirty" data, intricate architectural patterns, or problems that haven't been solved on Stack Overflow yet. We seek talents who understand one simple truth: to be the best in AI, you must learn faster than a neural network updates its weights.


What awaits you at Sofycod

  • Extreme AI & CV: You will design systems and algorithms that thrive in the real world, not just on curated datasets.
  • R&D as a Standard: We don’t just implement off-the-shelf tools. We research, experiment, and deploy SOTA (State-of-the-Art) solutions.
  • The Intellectual Challenge: We build solutions that must think several steps ahead. These are tasks for those who love mathematics, clean code, and elegant architecture.
  • A "No-Ceiling" Environment: We have no rigid hierarchy. There is a challenge, there is intellect, and there is the result. We provide the resources so you can grow as fast as your ambitions allow.
 

JoinING to sofycod You WILL get

Hack the Impossible

We don’t just "do projects"; we architect the digital backbone of the future. Join us in building unique, world-changing technologies where your code doesn't just run—it evolves. If you want to make the impossible possible through AI orchestration, you’re in the right place.

Flexibility & Deep Work

We value output over hours. Choose your setup: office, remote, or hybrid. With flextime and smart task distribution, we respect your "deep work" phases and personal life. No micro-management, just clear goals and the freedom to achieve them.

Meritocracy & Impact Recognition

At Sofycod, your impact is visible and rewarded. We’ve ditched bureaucratic ladders for a high-performance meritocracy. Your achievements are recognized with competitive rewards that actually reflect the value you bring to the table.

Exponential Professional Growth

The AI field moves fast, we move faster. Access internal AI labs, top-tier global conferences, and hands-on workshops. We don’t just help you "do your job"—we invest in your evolution from a specialist to a visionary leader.

Continuous Learning

Get access to a full-scale education ecosystem: from specialized AI programs to high-stakes real-world projects. We use the most advanced stack (Cursor, Copilot, Agentic AI) to ensure you spend less time on routine and more time on high-level engineering.

Culture of Synergy

We foster a high-vibe, low-ego environment. Beyond corporate events, we build a community of like-minded innovators. In a hybrid world, we prioritize meaningful connection, team spirit, and a culture where everyone has your back.

Opened positions

Team Lead / Python System Architect (AI-Native)

Role Overview

We are looking for a visionary Team Lead to spearhead the development of our challenging projects for implementation of different Custom AI based Solutions and Custom Business Management Systems. This isn't a traditional management role; we need a "Playing Coach" who lives and breathes Python, asynchronous architectures, and Agentic AI. You will lead a lean, high-velocity team where AI-assisted engineering is the core standard, not an option. Your goal is to architect systems that are self-optimizing and business-aware.


Key Responsibilities

  • System Architecture: Design scalable, event-driven backends using Python that can handle complex business logic and multi-agent AI workflows.
  • AI Strategy: Implement and oversee LLM-native features (RAG, autonomous agents, and predictive analytics) using frameworks like LangGraph or CrewAI.
  • Engineering Efficiency: Lead the team in AI-first development. You will set the standard for using GitHub Copilot / Cursor to achieve 3x–5x productivity gains over traditional coding methods.
  • Code Quality & Mentorship: Conduct architectural reviews and ensure the team utilizes modern Python best practices (typing, async, modularity).


The Python-Centric Tech Stack

  1. Core: Python 3.12+, FastAPI, Pydantic v2.
  2. AI Orchestration: LangGraph / LangChain, LlamaIndex (for advanced RAG).
  3. Models: OpenAI GPT-4o, Claude 3.5 Sonnet, and local deployments via Ollama.
  4. Data & Storage: PostgreSQL (with PGVector), Redis (Task Queues), Pinecone/Weaviate (Vector memory).
  5. Ops & Tooling: Docker, Kubernetes, Ruff (linting), Mypy (strict typing).
  6. AI Pairing: Mastery of Cursor & GitHub Copilot is a mandatory requirement.

Senior Backend Engineer (Python & AI Power-User)

Role Overview

We are seeking a Senior Python Engineer who considers themselves an "AI Power-User." You are someone who has mastered the art of high-speed development by leveraging AI pair-programming tools. You don't just write code; you architect solutions. Your focus is on building robust, high-performance backends that serve as the foundation for autonomous business agents. If you still spend hours writing boilerplate code manually, this role is not for you.

Key Responsibilities

  • Backend Development: Develop high-performance, asynchronous APIs and background workers using FastAPI and Celery/TaskIQ.
  • AI Integration: Build and fine-tune RAG pipelines and integrate LLMs into production workflows to automate decision-making.
  • High-Speed Prototyping: Use AI-assisted tools (Cursor/Copilot) to deliver production-ready features at a pace that traditional developers find impossible.
  • Data Engineering: Design and optimize database schemas (SQL & NoSQL) and manage vector embeddings for AI memory.


The Python-Centric Tech Stack

  • Core: Python 3.12+, FastAPI (Async-first).
  • AI Frameworks: CrewAI / LangChain, OpenAI API, HuggingFace integration.
  • Database: PostgreSQL (SQLAlchemy 2.0 / Tortoise-ORM), Redis, DuckDB (for on-the-fly analytics).
  • Efficiency Suite: Cursor / GitHub Copilot (Expert level), Supermaven, Pytest for automated AI-generated testing.
  • Deployment: Docker-based microservices, GitHub Actions (Full CI/CD).



Middle Backend Engineer (Python & AI-Enhanced)

Role Overview

We are looking for a Middle Backend Engineer who is ready to leave traditional, slow development behind. You are a solid Python developer who has already integrated GitHub Copilot or Cursor into your daily workflow. In this role, you won't just be "fixing bugs"; you will be responsible for building core features of the Custom Business Management Systems, ensuring they are fast, tested, and integrated with our AI agent layer.


Key Responsibilities

  • Feature Development: Build and maintain asynchronous REST/gRPC endpoints using FastAPI.
  • AI Integration: Implement RAG (Retrieval-Augmented Generation) patterns and connect LLM providers to our business logic.
  • Database Management: Write and optimize SQL queries (PostgreSQL) and manage migrations using Alembic.
  • Testing & Quality: Use AI to generate comprehensive Pytest suites to ensure 90%+ code coverage for every new feature.



The Python-Centric Tech Stack

  • Core: Python 3.12+, FastAPI (Async-first).
  • AI Frameworks: CrewAI / LangChain, OpenAI API, HuggingFace integration.
  • Database: PostgreSQL (SQLAlchemy 2.0 / Tortoise-ORM), Redis, DuckDB (for on-the-fly analytics).
  • Efficiency Suite: Cursor / GitHub Copilot (Expert level), Supermaven, Pytest for automated AI-generated testing.
  • Deployment: Docker-based microservices, GitHub Actions (Full CI/CD).



Middle Frontend Engineer (React/Next.js & AI-Driven)

ROLE OVERVIEW

We need a Middle Frontend Engineer who is obsessed with building clean, high-performance user interfaces at record speed. You should be a master of React and Next.js, but more importantly, you should know how to use v0.dev, Screenshot-to-Code, or Copilot to bridge the gap between a design concept and a functional UI in minutes. We build "AI-First" interfaces—UIs that adapt to user intent.

Key Responsibilities

  • UI Development: Build responsive, accessible, and fast web applications using React and Tailwind CSS.
  • State Management: Manage complex application states (Zustand or TanStack Query) to ensure real-time data synchronization with the Python backend.
  • AI-Interface Design: Implement "Generative UI" components that change based on AI output.
  • Rapid Prototyping: Use AI-design tools to turn Figma mockups into clean, typed React components with minimal manual effort.



The Frontend Tech Stack

  • Core: React 19, Next.js (App Router), TypeScript.
  • Styling: Tailwind CSS, Shadcn/UI (Radix UI).
  • Data Fetching: TanStack Query (React Query), Axios.
  • State: Zustand / Context API.
  • AI-Efficiency: Cursor, v0.dev, Claude (for UI logic generation).
  • Testing: Playwright or Vitest


send your resume to join to our team

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