Senior Python AI Engineer

**The Role:** We are looking for a**Senior Python AI Engineer**to join our fast-growing Network, who will design and develop backend systems and APIs for AI-powered applications. You will play a key role in designing and building scalable backend systems and APIs, collaborating closely with cross-functional teams to shape the future of data-driven products across various platforms. **What we are looking for:** * Strong proficiency in Python (5+ years), including modern frameworks (FastAPI, Flask, or Django). * Deep learning frameworks (PyTorch, TensorFlow) for custom modeling beyond LLM APIs. * Experience with large language models (LLMs) such as GPT, Gemini, LLaMA, or similar. * Experience with prototyping tools: Streamlit, Gradio * Solid experience designing RESTful APIs and microservice architectures. * Strong backend development expertise, including databases (SQL/NoSQL). * Experience with version control (Git) and CI/CD workflows. * Hands-on experience with containerization (Docker, ideally Kubernetes). * Familiarity with cloud platforms (AWS, Azure, or GCP) is a plus. * Understanding of security best practices for handling sensitive data. * Strong problem-solving skills to address complex challenges and performance bottlenecks. * Excellent technical communication skills to collaborate effectively across teams and explain technical concepts to non-technical stakeholders. * Ability to work independently while aligning with broader team goals. * Intermediate-advanced English level. * Time zone: CET (+/- 3 hours). We are unable to consider applications from candidates in other time zones. **AI/ML & LLM Ecosystem:** * LLM orchestration frameworks: LangChain, LangGraph, LlamaIndex. * Retrieval-Augmented Generation (RAG) pipeline design. * Experience with vector databases (Pinecone, Weaviate, Milvus, Chroma, FAISS). * Hands-on with LLMs & APIs: OpenAI (GPT-5/5-mini), Anthropic Claude, Google Gemini, Meta Llama, Mistral. * Familiarity with AWS Bedrock for accessing and deploying foundation models. * Prompt engineering and structured output design (JSON mode, function calling). * Model fine-tuning (LoRA, QLoRA) and evaluation frameworks (DeepEval, Ragas). **Responsibilities:** * Design and develop backend systems and APIs for AI-powered applications. * Build and optimize LLM-based workflows, including chatbots, copilots, and automation tools. * Implement RAG architectures using vector databases and document pipelines. * Integrate and orchestrate cloud-hosted foundation models (AWS Bedrock, OpenAI, Anthropic, Google Gemini, Meta Llama, Mistral). * Collaborate cross-functionally with data scientists, product managers, and frontend developers to deliver end-to-end AI products. * Ensure performance, scalability, and cost optimization of AI solutions in production environments. * Monitor, evaluate, and continuously improve deployed AI systems. **What we offer:** **Get paid, not played** No more unreliable clients. Enjoy on-time monthly payments with flexible withdrawal options. **Predictable project hours** Enjoy a harmonious work-life balance with consistent 8-hour working days with clients. **Flex days, so you can recharge** Enjoy up to 24 flex days off per year without losing pay, for full-time positions found through Proxify. **Career-accelerating positions at cutting-edge companies** Discover exclusive long-term remote positions at the world's most exciting companies. **Hand-picked opportunities, just for you** Skip the typical recruitment roadblocks and biases with personally matched positions. **One seamless process, multiple opportunities** A one-time contracting process for endless opportunities, with no extra assessments. **Compensation** Enjoy the same pay, every month with positions landed through Proxify.