Vacancy: AI Engineer (Agents)

Grade: Middle / Senior Location: Tashkent (until project launch\September) → remote thereafter Employment: full-time Company: HaaS Platform Salary: from $4500 - up to (negotiable)

AI Engineer (Agents) Middle / Senior We are a product team building a platform focused on virtual AI agents for communication automation. We work fast, without excessive bureaucracy, experiment a lot, and implement new approaches. We are currently strengthening our agent systems direction and are looking for an engineer who understands how it works not only from the outside but also "under the hood".

Responsibilities:

• Development and enhancement of voice and text AI agents (pipeline: STT → LLM → TTS)
• Building and improving agent scenarios: prompting, tool use, orchestration
• Optimizing pipeline latency, response quality, and stability
• Fine-tuning and evaluating LLM and speech models for real-world use cases
• Integrating AI components into production (C# / SIP / RTP stack)
• Researching and implementing new models, frameworks, and approaches

Our Stack

• Python, C#
• Whisper (STT), Qwen / LLaMA / Mistral (LLM), Kokoro (TTS)
• LangChain / LlamaIndex
• vLLM / Ollama / llama.cpp
• SIP / RTP, Windows / Linux

We expect:

• 2+ years of experience in AI/ML in production
• Understanding of LLMs: prompting, RAG, fine-tuning
• Experience with agent systems
• Understanding of how models and pipelines are structured
• Experience with speech (STT / TTS) - will be a strong plus
• Ability to evaluate end-to-end model quality
• Experience with on-premise inference (local deployment, quantization, latency)
• Confident work with Linux and/or Windows

What's important:

• Interest in agent systems and AI
• Readiness to work in a dynamic environment: many diverse tasks
• Ability to independently figure things out and bring solutions to production

Will be a plus:

• HuggingFace ecosystem
• Experience in Telecom / VoIP
• Agentic AI (tool use, multi-agent systems)

Work Format:

• Relocation to Tashkent for the launch period (until September). Thereafter — full remote
• Flexible cooperation format