Senior Data Scientist

Навыки

• API (интеграции)
• Отладка и поиск ошибок
• Распределённые системы
• Docker
• Jaeger / OpenTelemetry
• LLM
• Инференс LLM

О компании и продукте

• At FlameTree, we are building a platform for creating AI agents that help businesses scale customer support, lead follow-up, and sales across multiple communication channels — both inbound and outbound.
• Our AI agents work with knowledge bases, communicate in real time, and drive conversions across messaging platforms. The platform supports 150+ languages and integrates with WhatsApp, email, and web applications, offering strong security and high scalability for business growth.

Задачи

• Design and develop the core agent layer responsible for orchestrating interactions with LLMs
• Build and maintain complex conversational logic: state machines, agent workflows, and orchestration pipelines
• Control and shape LLM behavior: prompt design, structured outputs, deterministic flows
• Manage conversational context: memory, history, token limits, and degradation strategies
• Ensure reliability and predictability on top of inherently non-deterministic models
• Implement resilient integrations with LLM providers (timeouts, retries, fallbacks, multi-provider strategies)
• Optimize latency and cost (streaming, batching, caching, token efficiency)
• Debug complex production issues (inconsistent outputs, race conditions, state loss)
• Contribute to system architecture: clear boundaries between agents, backend, and real-time components
• Build observability around LLM pipelines (prompt/response logging, tracing, quality metrics)
• Remote work is possible
• Payment terms are open to discussion from 3500 € and up

Требования

• 5+ years of backend development experience with strong Python skills (async, architecture, performance)
• Proven production experience with LLMs (not side projects): understanding of limitations, cost, and behavior
• Experience building agent-based systems or complex orchestration logic (state machines, pipelines)
• Ability to make LLM behavior predictable (structured outputs, schema validation, guardrails)
• Strong debugging skills in non-deterministic systems
• Deep understanding of API integrations (timeouts, retries, idempotency, backpressure)
• Experience optimizing latency and throughput in production systems
• Solid Docker experience and understanding of production environments
• Ability to make architectural decisions independently and take ownership
• Strong engineering mindset: writing maintainable, scalable, production-grade code

Будет плюсом

• Experience with multi-agent systems, tool/function calling
• Experience with local LLMs (Ollama, vLLM, GPU inference)
• Experience with real-time / voice systems
• LLM observability (prompt tracing, evals, quality metrics)
• Cost optimization at scale for LLM usage
• What Makes This Role Interesting
• You will work on the core intelligence layer of the product — not just integrations
• Real production challenges: high load, low latency, reliability requirements
• Direct impact on system architecture and technical decisions
• Fast execution cycle — minimal bureaucracy
• Engineering-driven approach to LLMs (reliability, control, metrics — not just prompt tinkering)
• Strong engineering team focused on building real systems, not prototypes
• Who This Role Is NOT For
• Candidates without real production experience with LLMs
• Engineers relying only on frameworks without understanding underlying mechanics
• Developers without experience in high-load or latency-sensitive systems
• People focused on quick hacks rather than building reliable systems
• If you want to join a team where everything is fast, exciting, and truly about AI — drop a message: https://t.me/Irene_Bakaeva!

Условия

• Location: Serbia, Armenia (We are ready to discuss other countries as well)

Паспорт вакансии

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