Senior Python Developer – AI, Data Integration
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Job Description
Senior Python Developer building RAG pipelines, autonomous agents, and MCP integrations for SOFTSWISS’s AI ecosystem. Designing scalable AI services with Python, distributed systems, and enterprise data.
Responsibilities:
- 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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