Senior Python Developer – AI, Data Integration

Job not on LinkedIn

🔥 13 hours ago

🌐 Poland, Serbia, +1 more countries – Remote

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⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 10%

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Logo of SOFTSWISS

SOFTSWISS

1001 - 5000 employees

💼 Consulting

📣 Marketing

🎮 Gaming

Consulting • Marketing • Gaming

SOFTSWISS is a leading provider of iGaming software solutions, offering a wide range of products including iGaming Platform, Sportsbook Platform, Game Aggregator, Jackpot Aggregator, and more. Established in 2009, SOFTSWISS has grown to employ over 1,700 people across 4 international offices in Poland, Georgia, Malta, and several remote locations. The company is known for its innovation in the iGaming industry, being the first Crypto iGaming provider in the world. SOFTSWISS not only promotes a dynamic and flexible work culture with comprehensive employee benefits but also commits to social responsibility by supporting various campaigns and initiatives.

📋 Description

• Collaborate within an agile team using Scrum methodology • Participate in strategic planning of the AI roadmap • Engage in architectural, infrastructure, and strategic decision-making for AI-enabled services • Design and implement production-ready Retrieval-Augmented Generation (RAG) pipelines • Design and implement agentic workflows leveraging internal data • Integrate Model Context Protocols (MCP) to standardize AI tool interactions with diverse data sources and environments • Conduct code reviews for other team members • Maintain high standards for documentation and testability • Design and build AI-enabled solutions including RAG systems, autonomous agents, and MCP integrations • Help shape the architecture of the AI ecosystem and ensure internal tools are robust, scalable, and integrated with enterprise data

🎯 Requirements

• 7+ years of professional software development experience • At least 4 years of recent programming experience with Python as the primary language • Strong understanding of Python internals, including asynchronous programming (asyncio), memory management, and performance profiling • Proven experience building RAG (Retrieval-Augmented Generation) systems • Experience with LLM orchestration frameworks such as LangChain, LlamaIndex, or CrewAI • Solid knowledge of Linux and proficient command-line skills (Bash/Shell) • Solid knowledge of Docker and Kubernetes for deploying and scaling containerized applications • Experience with relational databases (PostgreSQL), including query optimization and schema design • Experience with Redis for caching and state management in distributed systems • Familiarity with the ELK Stack (Elasticsearch, Logstash, Kibana) for logging, monitoring, and observability • English proficiency at an Intermediate level or higher • Experience with vector databases and semantic search optimization is nice to have • Experience implementing Model Context Protocol (MCP) or similar interoperability standards is nice to have • Understanding of distributed application principles and microservice architecture is nice to have • Familiarity with modern back-end design patterns is nice to have • Experience in fields where data security and integrity are paramount is nice to have

🏖️ Benefits

• Full-time remote work opportunities • Flexible working hours • Private insurance • Additional 1 Day Off per calendar year • Sports program compensation • Comprehensive Mental Health Programme • Free online English lessons with a native speaker • Generous referral program • Training and internal workshops • Participation in international professional conferences and corporate events

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