Senior Python AI Engineer

About the Role

The role entails working on complex projects that require a deep understanding of AI and machine learning concepts, as well as excellent problem-solving skills. You will be responsible for designing and building scalable backend systems and APIs, as well as collaborating with data scientists, product managers, and frontend developers to deliver end-to-end AI products.

Proxify is a global network of supportive, talented developers interested in remote full-time jobs. The company has a strong track record of connecting top developers with exciting opportunities, and this role is no exception. With a commitment to helping developers fast-track their independent careers, Proxify offers a unique and supportive work environment that is ideal for someone looking to take their career to the next level.

What You Will Do

• 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
• Work on prototyping tools such as Streamlit and Gradio
• Develop and maintain technical documentation for AI systems and APIs

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

Nice to Have

• Experience with 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)

Benefits and Perks

• Get paid, not played: 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: 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
• Opportunity to work with a global network of supportive, talented developers
• Access to a wide range of exciting projects and opportunities
• Support for ongoing learning and professional development
• Flexible working arrangements to suit your needs and preferences

• Tip: Make sure to highlight your experience with Python, deep learning frameworks, and AI-powered application development in your application.
• Tip: Be prepared to showcase your problem-solving skills and ability to work on complex projects.
• Tip: Familiarize yourself with Proxify's company culture and values, and be prepared to discuss how you align with them.
• Tip: Use specific examples to demonstrate your experience with LLMs, RAG architectures, and cloud-hosted foundation models.
• Tip: Emphasize your ability to collaborate effectively with cross-functional teams and explain technical concepts to non-technical stakeholders.
• Tip: Be prepared to discuss your experience with containerization, CI/CD workflows, and security best practices for handling sensitive data.
• Tip: Research the current market trends and be prepared to discuss the future of AI and machine learning, and how you see yourself contributing to this field.