Middle AI Engineer (Python, LLMs)

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.