Работа в России, вакансия - Middle AI Engineer (Python, LLMs) • Ташкент - id368

Vacancy: Middle AI Engineer (Python, LLMs)

We’re seeking a Middle AI Engineer to become part of our forward-thinking product team focused on building end-to-end AI solutions - from intelligent chatbots and Q& A platforms to complex autonomous agent systems. The ideal candidate has a solid foundation in Python, a strong understanding of modern AI technologies, and a genuine passion for Large Language Models (LLMs), automation, and practical AI implementation.

Responsibilities:
- Design, implement, and maintain AI-driven applications - including chatbots, Q& A platforms, and agent-based systems
- Collaborate with clients to understand their business needs and recommend LLM-powered solutions
- Build and manage data pipelines, prompt strategies, and datasets to ensure reliable and accurate model behavior
- Evaluate and optimize AI system performance, ensuring security, scalability, and compliance
- Conduct research and develop proof-of-concepts and prototypes to validate technical feasibility
- Stay up-to-date with the latest advancements in LLMs, frameworks, and AI engineering practices.

Requirements:
- Strong proficiency in Python, experience with FastAPI or similar frameworks
- Solid understanding of the AI application development lifecycle
- Experience with rapid UI prototyping tools such as Streamlit or Gradio
- Familiarity with LLM APIs (OpenAI, Anthropic, Amazon Bedrock, Gemini, etc.) and frameworks like LangGraph, LlamaIndex, Strands Agents
- Knowledge of AI integration patterns such as RAG and Agents
- Experience deploying AI systems at scale, considering performance, cost, and maintainability
- Ability to evaluate AI model quality using metrics like retrieval and classification accuracy
- Proven background in AI engineering or ML-based solutions
- Strong analytical and problem-solving skills
- Excellent communication and teamwork abilities.

Nice to Have:
- Experience designing and running A/B tests and analyzing user feedback
- Understanding of retrieval systems, embeddings, and ranking algorithms
- Familiarity with emerging AI agent protocols (MCP, A2A, ACP, etc.)
- Hands-on experience with cloud AI platforms (Azure OpenAI, AWS Bedrock, GCP Vertex AI) or on-premise solutions (vLLM)
- Experience working with enterprise AI environments (AWS AgentCore, Databricks AgentBricks, Azure AI Foundry)
- Familiarity with monitoring and observability tools for AI applications.

Technologies:
- Python, PyTorch, Hugging Face, LangChain, FastAPI
- Vector Databases: Qdrant, FAISS, Chroma
- LLM APIs: Azure OpenAI, AWS Bedrock.

We Offer:
- Competitive salary starting from $1200/month
- Opportunity to work with cutting-edge AI products and real-world LLM applications
- A collaborative, growth-oriented environment
- Flexible working format - on-site, hybrid, or remote
- Professional development and participation in high-impact AI projects.

How to Apply:
Send your CV and portfolio (GitHub or project links)

Join our team and shape the future of AI - where innovation meets real-world impact.