Senior Python AI Engineer
Proxify AB
पदको बारेमा
- Headquarters: Sweden URL: http://career.proxify.io 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.
To apply: https://weworkremotely.com/remote-jobs/proxify-ab-senior-python-ai-engineer-4