Python Developer – Senior (AI & Data Integration)

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

Originally posted on Himalayas