Senior Python Developer

About the Position

Senior Python Developer: ASR Moonshot

We're seeking a senior or AI-savvy mid-level engineer who is highly proficient in async Python/FastAPI and has strong Azure cloud expertise. You should be comfortable building low-latency APIs, optimizing PostgreSQL at scale, and collaborating closely with Data Science and Frontend teams. Fluency with AI coding assistants is essential for accelerated development in our fast-paced environment. Experience with LLM integration is a plus, but willingness to learn and adapt is equally important. You'll work across multiple projects with varying architectures (3 active, 3 upcoming), so flexibility, pragmatic problem-solving, and strong collaboration skills are key to success in this role.

Responsibilities

• API Development

  • Design and build async FastAPI services with structured logging and low-latency endpoints
  • Develop RESTful APIs across multiple microservices (architecture varies by project: 1-6 services)
  • Implement WebSocket connections for real-time updates and event-driven patterns
  • Optimize database operations with connection pooling (200-pool configurations) and JSONB-aware queries
  • Build background task processing systems with retries and idempotency for heavy operations

• Infrastructure & Deployment

  • Containerize services with Docker and deploy via Helm charts to Azure Kubernetes Service
  • Manage environment-driven configuration and execute startup database migrations
  • Implement background job scheduling with task schedulers, status tracking, and retry logic
  • Optimize caching strategies with Redis for maximum performance
  • Configure CORS policies, middleware, and request/response logging

• AI/LLM Integration (Nice-to-Have)

  • Integrate LangChain and OpenAI APIs for semantic tasks and domain-specific pipelines (valuation, analytics)
  • Build document processing systems handling PDF, Excel, and DOCX parsing at scale
  • Work with vector databases and Azure AI Search for retrieval-augmented generation (RAG)
  • Decouple heavy LLM/document processing from request threads to maintain low P95 latency
  • Collaborate with Data Science on prompt engineering, output parsers, and evaluation metrics

• Data Architecture

  • Design PostgreSQL schemas with proper indexing, foreign keys, and multi-tenant data isolation
  • Integrate Azure Blob Storage for document workflows and large file handling
  • Implement complex business logic with transactional guarantees and ACID compliance
  • Use Cosmos DB connector for specialized NoSQL workloads when appropriate
  • Manage database connection lifecycle, pooling, and transaction management

Requirements

• Core Requirements

  • 3-5+ years of backend development experience
  • 2-3+ years of production Python/FastAPI experience
  • Azure cloud services experience (REQUIRED): Blob Storage, Azure Kubernetes Service (AKS), AI Search
  • Strong async programming patterns and PostgreSQL expertise
  • Docker containerization and microservices architecture experience
  • Fluency with AI coding assistants (REQUIRED): GitHub Copilot, Cursor, or similar tools for accelerated development

• Technical Depth

  • Expert-level async/await patterns and non-blocking I/O in Python
  • PostgreSQL optimization: complex queries, indexing strategies, connection pooling with asyncpg
  • RESTful API design with JWT authentication and CORS configuration
  • Database schema management at scale (50+ tables, complex relationships)
  • Performance-conscious development (P95 latency optimization, connection pooling strategies)
  • Understanding of when to use asyncio vs. multiprocessing for different workload types

Nice to Have

• Hands-on Kubernetes/Helm operations experience beyond deployment
• Prior experience with LangChain, LLM integration, or AI/ML pipeline productionization
• Multi-tenant SaaS architecture patterns and data isolation strategies
• Cosmos DB or other NoSQL database experience
• Experience with task schedulers, job queues (Celery, RQ), or workflow orchestration
• Performance profiling and optimization tools (py-spy, cProfile, pgBadger)

We Offer

• Remote Work: Remote, with possible occasional in-person team sessions/workshops/gatherings (i.e., 1x quarter) likely to take place in Prague
• Working Hours: 9-6/10-7 CET, possibility of a wider overlap (flexibility) appreciated

About the Company

We Expect You to Have:

• Constant collaboration with Data Science teams: Productionize and iterate on LLM pipelines, prompt libraries, and model evaluation
• Close partnership with Frontend engineers: Define API contracts, implement JWT-secured access, orchestrate async jobs via task IDs and polling patterns
• Clear communication on technical decisions, trade-offs, and architectural choices
• Pragmatic problem-solving approach across multiple projects with varying requirements
• Ability to iterate quickly based on feedback from cross-functional teams
• Leverage AI coding assistants to accelerate development while maintaining code quality

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Our team will review your application within the next 5 days.

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Contact Information

The Workly s.r.o.

4D CENTER, Kodaňská 1441/46,

101 00, Praha 10.

Email: [email protected]

Phone: + 420 775 371 991

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