SOFTSWISS

Python Developer – Senior (AI & Data Integration)

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SeniorZdalnie·WarszawaFull-time

#438191·Dodano miesiąc temu·3

Źródło: SOFTSWISS

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Tech Stack / Keywords

PythonasyncioLangChainLlamaIndexCrewAILinux Bash Shell Docker Kubernetes

Firma i stanowisko

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.

Wymagania

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

Obowiązki

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

Benefity

Full-time remote work opportunities with flexible working hours
Private insurance
Additional 1 Day Off per calendar year
Sports program compensation
Comprehensive mental health program
Free online English lessons with a native speaker
Generous referral program
Training, internal workshops, and participation in international professional conferences and corporate events

Elastyczne godziny

Opieka zdrowotna

Karta sportowa

Kursy językowe

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