Python AI Developer

Requirements

• 4+ years of experience in backend or systems engineering for distributed applications.
• Strong Python skills.
• Hands-on experience with LangChain / LangGraph or similar agent orchestration frameworks.
• Deep understanding of event-driven systems and asynchronous programming (queues, pub/sub, workers).
• Experience with Kafka, RabbitMQ, or AWS SQS.
• Solid knowledge of microservice architecture, APIs, and data contracts.
• Familiarity with Docker / Kubernetes and CI/CD pipelines.
• Strong focus on performance, observability, and clean code.

Nice to Have

• Background in trading or fintech systems (order flow, risk checks, PnL tracking).
• Experience with PostgreSQL, Redis, and real-time data pipelines.
• Familiarity with AI/LLM agent patterns (personas, tools, memory, planning).
• Interest in financial markets or algorithmic trading concepts.

Responsibilities

• Architect and implement the LangGraph-based orchestration layer that coordinates strategy, risk, compliance, and execution agents.
• Define and maintain core event schemas (SignalEvent, OrderIntent, RiskDecision, ExecutionReport, etc.) used across services.
• Manage distributed Strategy Workers (user × strategy × symbol × timeframe) with low-latency execution targets (< 50 ms p50).
• Build a replayable event store for audit, recovery, and simulation.
• Integrate with backend services for execution, risk checks, and portfolio tracking.
• Implement observability — structured logging, metrics, and tracing (OTel / Prometheus).
• Collaborate with Quant and Backend teams to ensure strategies flow seamlessly from signal generation to execution.
• Contribute to design decisions on scalability, fault isolation, and event-driven architecture.

We offer

• Flexible working hours.
• Fair salary (regular performance-based salary reviews).
• 20 working days paid vacation and 15 sick leaves.
• Fully paid medical insurance.
• English classes in the office.
• Bookkeeping and accounting on us.
• No time trackers — ability to do quality work.
• Approachable management, open to suggestions and innovations.
• Friendly team and enjoyable working environment.