Sr AI Engineer (AI agents)

Senior Python AI Engineer with a strong core software engineering background and a recent focus on LLM systems: real-time AI agents and low-latency text/voice.

About the Project

A long-term project focused on building a backend platform for real-time AI agents that operate on text and/or voice with low latency. The main focus is on reliable production-grade services, asynchronous event processing, integration with real-time communications (LiveKit / Pipecat or similar solutions), and building LLM orchestration for agent logic (ReAct/CoT, Transformers).

Responsibilities

• Develop and maintain backend services using Python + FastAPI.
• Build asynchronous pipelines (asyncio) for streaming scenarios (text/voice).
• Integrate with LiveKit / Pipecat / similar for real-time interactions.
• Implement LLM agents: orchestration, tool-calling, state management, routing, and applying ReAct/CoTapproaches.
• Integrate and use Transformers-based models and components (e.g., inference, post-processing, context management).
• Optimize performance: low latency, reliability, scalability, and load control.

• Write tests, maintain code quality, participate in code reviews, and contribute to technical decisions.

   

Requirements

• 5+ years of Python experience and a strong software engineering foundation (architectural thinking, clean code, production ownership).
• Commercial experience with FastAPI.
• Hands-on experience with asyncio and concurrency (I/O-bound workloads, streaming, background processing).
• Experience with pydantic (schemas, validation, API contracts).
• Recent experience with LLM systems: building agentic flows, model integrations, prompting/instruction design, and context handling.
• Understanding of or practical experience with real-time text/voice solutions (LiveKit/Pipecat/alternatives).

• English: Upper-Intermediate+ (communication with the team/client, documentation).

   

Nice to Have

• Experience with performance tuning / low-latency systems, profiling, and optimization.
• Understanding of LLM quality evaluation approaches (regression testing, basic metrics, degradation control).
• Experience with production observability (logging/metrics/tracing) at the principles + hands-on level.

We Offer

• A long-term project.
• Work in a modern area: real-time LLM/voice agents.
• Influence on technical decisions and architecture within your scope of responsibility.
• English communication in a professional environment.