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