SOFTSWISS continues to expand its AI capabilities, and we are looking for a Senior Python Developer to join our dedicated AI Software Delivery team. We need a true, experienced, and accomplished professional who is passionate about the intersection of LLMs, software engineering, and scalable infrastructure.
Purpose of the role:You will design and build sophisticated AI-enabled solutions, including Retrieval-Augmented Generation (RAG) systems, autonomous agents, and Model Context Protocol (MCP) integrations. You will help shape the architecture of our AI ecosystem, ensuring that our internal tools are not just "smart," but also robust, scalable, and deeply integrated with our enterprise data. Your deep understanding of Python internals, distributed systems, and modern AI orchestration patterns will drive the reliability and performance of our next generation of software.
Key responsibilities:Collaborating within an agile team using Scrum methodology and participating in the strategic planning of the AI roadmap
Engaging in architectural, infrastructure, and strategic decision-making processes for AI-enabled services
Designing and implementing production-ready RAG pipelines and Agentic workflows that leverage our internal data
Integrating Model Context Protocols (MCP) to standardize how our AI tools interact with diverse data sources and environments
Conducting code reviews for other team members and maintaining high standards for documentation and testability
7+ years of professional software development experience (аt least 4 years of recent programming experience with Python as the primary language)
Strong understanding of Python internals: asynchronous programming (asyncio), memory management, and performance profiling
Proven experience building RAG (Retrieval-Augmented Generation) systems and working with LLM orchestration frameworks (e.g., 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 (e.g., pgvector, Milvus, Qdrant) and semantic search optimization
Experience implementing Model Context Protocol (MCP) or similar interoperability standards
Understanding of distributed application principles and microservice architecture
Familiarity with modern back-end design patterns
Experience in fields where data security and integrity are paramount
Full-time remote work opportunities and 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, internal workshops, and participation in international professional conferences and corporate events
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