Python AI Engineer

We are seeking an experienced Python AI Engineer to develop and optimize systems interacting with large language models (LLMs), including chatbots, agent systems, and Retrieval-Augmented Generation (RAG) architectures. You will work on building high-performance, scalable solutions integrated with cloud platforms and modern AI tools, ensuring rapid development pace and high code quality. The role involves both independent work and collaboration within cross-functional teams.

What you’ll do:

• Develop and optimize backend systems using Python and FastAPI to build APIs integrated with LLMs (OpenAI API, Grok, GPT-5).
• Design and implement RAG pipelines for data processing, vectorization, and answer generation using OpenAI libraries.
• Build and maintain chatbot systems leveraging NLP technologies.
• Develop agent-based systems for text analysis and multimedia generation (audio, video, avatars).
• Integrate with cloud platforms (AWS) using serverless and microservice architectures.
• Work with vector databases (PostgreSQL + pgvector) for semantic search and data handling.
• Ensure code quality through regular code reviews and testing.
• Participate in LLM fine-tuning, prompt engineering, and model optimization for specific use cases (e.g., text summarization).

Requirements:

• 4+ years of Python development experience and 3+ years with FastAPI or Django.
• Strong understanding of asynchronous programming in Python.
• Hands-on experience with LLMs (OpenAI API, GPT-4/4o, Grok).
• Solid knowledge of RAG, prompt engineering, and fine-tuning techniques.
• Familiarity with NLP libraries (e.g., LangChain).
• Experience with containerization using Docker and Kubernetes.
• Strong database knowledge: PostgreSQL and vector databases (e.g., pgvector, ChromaDB, FAISS).
• Cloud experience, particularly AWS (ECS, S3, Lambda).
• Proficient in Git and CI/CD tools (GitLab CI/CD, Azure DevOps).
• English level B2+: ability to communicate confidently with both technical and non-technical stakeholders.
• Strong analytical skills, attention to detail, and the ability to work independently in a fast-paced environment.
• Quick learner with the ability to adapt to new technologies and client-specific tasks.

Nice to have:

• Experience with local LLMs and inference.
• Basic knowledge of frontend technologies (React, Next.js, TypeScript).
• Experience with real-time technologies (WebSocket, Socket.IO, WebRTC).
• Knowledge of MLOps/LLMOps (MLflow, Kubeflow) and vLLM.
• Experience with task queues (Dramatiq, Redis) and caching strategies.
• Familiarity with AWS CDK for infrastructure automation.
• Experience working with multimedia processing (audio/video, avatars, STT/TTS).

We would be delighted to share more information about our company during our meeting.