Python Developer – Senior (AI & Data Integration)

SOFTSWISS is expanding its AI capabilities and seeks a Senior Python Developer for its AI Software Delivery team to develop AI-enabled solutions like Retrieval-Augmented Generation (RAG) systems, autonomous agents, and Model Context Protocol (MCP) integrations.

• 7+ years of professional software development experience, including at least 4 years primarily using Python
• Strong understanding of Python internals including asynchronous programming (asyncio), memory management, and performance profiling
• Proven experience building RAG systems and working 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 containerized application deployment and scaling
• Experience with relational databases, specifically 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

Nice to have:

• Experience with vector databases such as 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 prioritizing data security and integrity

• Collaborate within an agile Scrum team and participate in AI roadmap planning
• Engage in architectural, infrastructure, and strategic decisions for AI-enabled services
• Design and implement production-ready Retrieval-Augmented Generation (RAG) pipelines and Agentic workflows leveraging internal data
• Integrate Model Context Protocols (MCP) to standardize AI tool interactions with diverse data sources and environments
• Conduct code reviews and maintain high standards for documentation and testability