Senior Python AI Engineer

About us:

borders. Proxify's mission is to connect top developers around the world with the opportunities they deserve. So, it doesn't matter where you are; we are here to help you fast-track your independent career in the right direction.

🙂 Since our launch, Proxify's developers have successfully worked with 1200+ happy clients to build their products and growth features. 5000+ talented developers trust Proxify and its network to fulfill their dreams and objectives. Proxify is shaped by a global network of supportive, talented developers interested in remote full-time jobs.

Our Glassdoor (4.5/5) and Trustpilot (4.8/5) ratings reflect the trust developers place in us and our commitment to our members' success.  ..

The Role:

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-b