Senior Python AI Engineer

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