Proxify AB: Senior Python AI Engineer

Headquarters: Sweden

URL: (Use the "Apply for this Job" box below)..io

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.

• Strong proficiency in Python (5+ years), including modern frameworks (FastAPI, Flask, or Django).
• Deep learning frameworks (PyTorch, Tensor Flow) 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/No
  
  SQL).
• 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.

• LLM orchestration frameworks:
  Lang Chain, Lang Graph, Llama Index.
• 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 (Deep Eval, Ragas).

• 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.

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.

Source