Senior Data Scientist

Описание вакансии

#vacancy #вакансия #job #работа #Data_Scientist #DS

Senior Data Scientist

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

🏢 Remote work is possible

💶 Payment terms are open to discussion from 3500 € and up

About the product

*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.*

🎯Responsibilities:

• 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)

🎯Requirements:

• 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

🎯Nice to Have:

• 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: Откликнуться!