Python Developer – Senior (AI & Data Integration)

SOFTSWISS; Warszawa; Remote; PLN 200,000 - 320,000; Full time

Benefits offered by this job

Full-time remote work opportunities

Private insurance

1 Day Off per year

Mental Health Programme

Training & conferences

Job summary

SOFTSWISS is seeking a Senior Python Developer to advance AI Software Delivery. You will design AI-enabled solutions, including RAG pipelines and MCP integrations, shaping our AI ecosystem and ensuring robust, scalable systems.

Strong Python internals, async programming, Docker/Kubernetes, and distributed systems expertise are essential for this role. The position offers full-time remote work options, competitive compensation, and opportunities to work with cutting-edge LLM orchestration

Qualifications

• 7+ years of professional software development experience, at least 4 years Python as primary language.
• Strong Python internals: asyncio, memory management, performance profiling.
• Experience building RAG systems and working with LLM orchestration frameworks.
• Solid Linux knowledge and command-line skills (Bash).
• Docker and Kubernetes for deploying and scaling containerized apps.
• Experience with PostgreSQL, Redis, and ELK Stack for logging/observability.
• English proficiency at an Intermediate level or higher.

Responsibilities

• Collaborate in an agile Scrum team and contribute to AI roadmap planning.
• Lead architectural, infrastructure, and strategic decisions for AI services.
• Design and implement production-grade RAG pipelines and Agentic workflows.
• Integrate MCP to standardize AI tools across data sources and environments.
• Conduct code reviews and maintain high standards for docs and testability.

Skills

Python

Asyncio

Performance profiling

Memory management

Linux

Bash

Tools

Docker

Kubernetes

PostgreSQL

Redis

ELK Stack

LangChain

LlamaIndex

CrewAI

Job description

Overview:

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

Required Experience:

• 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

Nice to have:

• 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

Our benefits:

• 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